If you run a local service business in North Texas (plumbing, HVAC, electrical, locksmith, garage door repair, legal services, or anything similar), you’re probably using Google Local Services Ads (LSA). For years, LSA has been a straightforward way to get leads. You verified your business, set a budget, and Google handled the rest. It was, for many, a “set it and forget it” kind of ad product. Well, that’s about to change in a big way.

Google is shutting down the dedicated LSA dashboard. Starting in August 2026, all Local Services Ads campaigns will migrate directly into Google Ads, running as a specialized type of Performance Max campaign with pay-per-lead goals. This isn’t a UI refresh. It changes how these ads are managed, tracked, and optimized. For businesses that treated LSA as a hands-off solution, this shift means you’ll need to understand Google Ads in a way you never had to before.

Why This Matters: Moving from Simple to Strategic

The old LSA dashboard was simple by design. You had an inbox for leads, some basic budgeting controls, and the ability to dispute bad leads. That was it. It worked well for many, offering a low barrier to entry for local businesses to get in front of potential customers without needing deep ad management experience.

Now, with LSA moving into Google Ads, those simplified controls are going away. Your LSA campaigns will inherit the complexity and power of the Google Ads platform. This means more control, yes, but also a steeper learning curve if you’re not familiar with how Google Ads works day-to-day. You’ll be dealing with bid strategies, daily budgets that behave differently, and a unified Target CPA goal across your services.

For years, we’ve managed LSA accounts for our clients here at 2Surge Marketing. We’ve always treated them as an integral part of a broader Google Ads strategy. This migration isn’t a surprise to us; it’s a natural evolution of Google consolidating its ad products. What it does mean is a lot of proactive work to ensure our clients’ accounts transition smoothly and continue to perform without interruption.

The Phased Rollout and What Stays the Same

Google is rolling this out in phases, starting in August 2026. This gives businesses some time, but it’s not time to wait around. The core promise of LSA, connecting local businesses with customers searching for their services, remains. You’ll still get screened leads, and the “Google Guaranteed” or “Google Screened” badges aren’t going anywhere. You’ll still pay per lead, not per click. The biggest change is how you manage those leads and campaigns.

Google’s own guidance explains the transition to Performance Max campaigns with pay-per-lead goals. This means your LSA campaigns will essentially become a specific flavor of Performance Max, which is Google’s automated, goal-based campaign type designed to show your ads across all Google channels. The pay-per-lead model will be a unique aspect within Performance Max for these LSA campaigns.

Before August 2026: Your Essential Checklist

This transition requires action. Ignoring it means potentially losing historical data, mismanaging budgets, or seeing a drop in lead quality. Here’s a breakdown of what you need to do, especially if you’ve been running LSA on autopilot.

1. Export Historical Data: The old LSA dashboard has valuable historical lead data, performance metrics, and dispute records. Google has stated that this data will not automatically transfer to Google Ads. You need to export it before the dashboard is deprecated. If you’ve been running LSA for years, this is critical for understanding past performance and making future decisions. Don’t assume it’ll just be there.
   • Review Multi-Vertical Accounts: This is a big one. Many businesses, especially those offering related services, might have run a single LSA profile covering multiple verticals. For example, an HVAC company might have offered both “AC Repair” and “Heating System Installation” under one LSA profile. When these campaigns move to Google Ads, they’ll operate under a unified Target CPA goal. This means Google Ads will try to get you leads across all those services for a single average cost.
2. • Split Multi-Service Campaigns: If you have different services with vastly different profit margins or lead values (e.g., emergency plumbing vs. water heater installation), you need to split these into separate LSA campaigns before the migration. This lets you set distinct Target CPAs and manage budgets independently for each service once they’re inside Google Ads. Trying to run multiple, disparate services under one Target CPA can lead to Google prioritizing cheaper, lower-value leads. We structure Google Ads campaigns carefully for our clients for exactly this reason.
3. • Understand Google Ads Bidding and Budgets: If you’re new to Google Ads, start learning the basics of daily budgets, bid strategies, and how they interact. Performance Max is largely automated, but you still need to understand the levers you have available. A daily budget in Google Ads means something different than the old LSA weekly budget.

Managing LSA Campaigns in Google Ads: What Changes Day-to-Day

Once your LSA campaigns are operating within Google Ads, the day-to-day management shifts. It’s no longer just about checking an inbox; it’s about active campaign management.

Here’s how some key areas will change:

Converting Daily Budgets and Bid Strategies

The shift from weekly to daily budgets means you need to adjust your thinking. If you had a $500 weekly budget on LSA, you’ll likely need to set a daily budget of around $71 in Google Ads. However, Google Ads allows for daily spending fluctuations, sometimes spending up to twice your daily budget on any given day, then balancing out over a month. This flexibility can be a shock if you’re used to the strict weekly limits of the old LSA system.

The Target CPA (Cost Per Acquisition) goal is central to Performance Max. This tells Google how much you’re willing to pay, on average, for a qualified lead. If you’ve got campaigns for “emergency plumbing” and “drain cleaning” both running in one LSA account right now, and one lead type is worth a lot more to you, splitting them out before the migration gives you granular control over the CPA you set for each. This is fundamental to effective Google Ads strategy.

How 2Surge Approaches This Transition

For our clients, we’re not just waiting for August 2026. We’re actively migrating LSA accounts. This means:

• Data Export & Archiving: We’re making sure all historical LSA performance and lead data is exported and safely archived for every client account we manage.
• Strategic Campaign Restructuring: For any client with multi-vertical LSA accounts, we’re working to split these into separate campaigns where appropriate, ensuring each service can be managed with its own budget and Target CPA. This aligns with our existing approach to structuring Google Ads campaigns for ROI.
• Proactive Google Ads Integration: We’re ensuring that once these LSA campaigns land in Google Ads, they’re not just left on autopilot. They become part of our active Google Ads management process. This includes daily budget monitoring, bid strategy adjustments, continuous lead quality disputes (which now happen within the Google Ads Lead Manager), and detailed reporting that ties into overall business goals. This is exactly what we do for any actively managed Google Ads account.

This kind of proactive management matters. If you just let your LSA campaigns migrate without intervention, you could find yourself with a poorly optimized Performance Max campaign trying to hit a single CPA goal across all your services. This usually means wasted ad spend and lower-quality leads.

Don’t Wait Until It’s Too Late

The August 2026 deadline might seem far off, but getting your LSA house in order takes time, especially if you need to restructure campaigns and learn a new interface. This isn’t a change that favors a “wait and see” approach. The businesses that come out ahead will be those that prepare now.

Think of it this way: LSA used to be a separate tool with a simple on/off switch. Now, it’s becoming a module within a much more powerful, but also more complex, machine: Google Ads. If you don’t know how to operate that machine, you’ll be at a disadvantage. If you’re a local business owner feeling overwhelmed by this, you’re not alone. Staying on top of Google Ads strategy, especially with these kinds of platform changes, is a full-time job. We cover a lot of these topics in our Google Ads coverage.

The real lesson here: online advertising this important doesn’t manage itself, whether it’s LSA today or whatever Google folds together next. If you want a better understanding of how these changes affect your specific accounts, talk to our team. For every local business running LSA, this isn’t a technical footnote. It’s the difference between an account that gets managed and one that runs on whatever Google’s automation decides is good enough.

If you’re running a small to mid-sized business and thinking about a website redesign in 2026, you’ve got more options than ever. It’s not just WordPress versus a custom build anymore. AI tools have changed what’s possible, and you need to understand how. The decision you make now impacts your team, your budget, and how you manage your online presence for years. I’ve been building websites since before WordPress was a common term, and for the last year and a half, I’ve been knee-deep in AI systems, seeing what they can really do for web development.

This isn’t about picking the flashiest new thing. It’s about picking the right tool for your business goals. We’ll look at the practical differences between staying with WordPress, going with a site built purely with AI-assisted HTML/JavaScript, or using a framework like NextJS.

WordPress: The Established Workhorse

WordPress powers a huge chunk of the internet. According to CMS market share data from W3Techs, it runs over 40% of all websites. That’s a massive footprint, and it brings a lot of benefits. For many small and mid-sized businesses, it’s still the default choice, and for good reason.

Why WordPress Keeps Its Edge

The main strength of WordPress is its ecosystem. There are thousands of themes and plugins available. Need an e-commerce store? WooCommerce integrates right in. Want to improve your search engine rankings? Plugins like Yoast SEO or Rank Math help a lot with the technical SEO side. For someone who needs to update content daily without touching code, a WordPress backend is usually straightforward. My team at 2Surge has built over 500 websites, and a significant number of them are on WordPress because it often makes the most sense for the client’s internal team.

Another point for WordPress is talent availability. It’s relatively easy to find developers and designers who know WordPress. This helps with ongoing maintenance, updates, and adding new features down the road. If you’re not planning to have an in-house developer, this access to a broad talent pool is a major plus. It’s also generally more cost-effective for initial setup compared to a completely custom, from-scratch application.

The Downsides of WordPress in 2026

While WordPress is solid, it has its drawbacks, especially when you compare it to newer approaches. Performance can be a big one. Because it’s a dynamic system that pulls content from a database and often loads many plugins, WordPress sites can be slower if not optimized correctly. We spend a lot of time on managed website hosting ensuring our WordPress sites are fast, but it’s a constant battle against bloat from themes and plugins.

Security is another common concern. With its popularity comes a larger target for hackers. Keeping plugins and themes updated is critical for website security essentials, and if you fall behind, you open yourself up to risks. This is where good managed hosting and proactive maintenance become non-negotiable.

Finally, there’s the flexibility question. While plugins offer a lot, they can also limit truly custom functionality. If you have a very specific business process or unique user experience you want to build, you might find yourself fighting against the WordPress architecture. Customizing a plugin or theme can sometimes be more work than building something from the ground up, and updates can break your custom code.

AI-Generated HTML/JavaScript: The “Static” Site Renaissance

This is where things get really interesting, and it’s an option many businesses aren’t considering as a primary path yet. With AI tools like Claude Code, Qwen Code, and even GPT-4, you can generate clean, semantic HTML, CSS, and JavaScript. The idea here isn’t to build a traditional “dynamic” site with a database and backend content management system, but a “static” site that’s incredibly fast and secure.

How AI Changes the Development Process

Instead of manually coding every element or picking a theme, you describe what you want to an AI model. You can say, “Generate a three-column layout for a service business, with a hero section, testimonials, and a contact form,” and it will produce the code. You can iterate on this, asking for changes like, “Make the buttons blue and round,” or “Add a subtle animation to the hero image.”

The output is usually plain HTML, CSS, and JavaScript. No database, no WordPress backend, no plugins to update. The site files are simply served directly to the browser. This means incredible speed and far fewer security vulnerabilities, because there’s no server-side logic to exploit. For a local service business, like an HVAC company in Plano or a roofing contractor in Frisco, where lead generation and clear information are paramount, a lightning-fast static site can be a huge advantage for SEO and user experience.

The Upside of AI-Assisted Static Sites

• Speed: Static sites are inherently fast. They don’t need to query a database or run complex server-side code for every page load. This is a big win for user experience and SEO. Google likes fast sites.
• Security: With no database, no plugins, and no complex server-side application, the attack surface is significantly smaller.
• Cost-Effective Hosting: You can host these sites on incredibly cheap platforms, often for free, using services like Netlify, Vercel, or even basic S3 buckets.
• Customization (Initially): In the initial build, AI tools can give you a highly customized design without the constraints of a theme.

The Big Catch: Content Management and Future Updates

Here’s where the rubber meets the road. Once that AI generates your HTML/CSS/JS site, how do you or your non-technical team update the content? If you want to change a paragraph of text, add a new service, or update a price, you have to go back into the code. This means either you learn basic HTML, or you pay someone like us for every single content change.

For a business that rarely updates its website, this might be fine. But if you’re blogging weekly, adding new products, or changing service descriptions often, this becomes a major bottleneck. The original AI context that built the site might be gone, making it harder for even a developer to pick up where the AI left off and generate new, consistent code. This is a very real operational issue for any small business. We deal with clients who need custom website design but also need a way to manage their blog posts easily.

This approach works best for very simple informational sites, landing pages, or businesses with extremely stable content. It’s a trade-off: maximum speed and security for minimum ongoing editability by non-technical staff.

NextJS (or Similar Frameworks): The Modern Web Application

NextJS, built on React, represents a different philosophy. It’s a JavaScript framework that allows developers to build highly dynamic, component-based web applications. While often used for complex applications, it’s also gaining traction for marketing websites. Other frameworks like NuxtJS (Vue) or SvelteKit are in the same vein.

The Power of Component-Based Development

With NextJS, your website is broken down into reusable components. Think of a navigation bar, a product card, or a testimonial block as individual components. This makes development highly modular and efficient. AI tools can also generate these components, significantly speeding up the initial development. I’ve used Claude Code to generate specific React components that would have taken hours to code by hand.

NextJS supports both server-side rendering (SSR) and static site generation (SSG). This means you can get the benefits of a super-fast static site for your main marketing pages, but still have dynamic features like e-commerce carts or user logins that interact with a database. This flexibility is a huge advantage. For businesses in Dallas or McKinney looking for advanced features paired with top-tier performance, NextJS is a strong contender.

Advantages of NextJS

• Performance: Like static sites, NextJS can produce incredibly fast websites, often leading to better SEO and user experience.
• Scalability & Flexibility: It’s designed for complex applications and can scale with your business needs. If you foresee adding custom integrations, a user portal, or advanced e-commerce features, NextJS handles it well.
• Developer Experience: Modern JavaScript developers generally prefer working with frameworks like NextJS. This helps with attracting talent for ongoing web development services.
• AI Integration: AI can be used not just to generate components, but also to build out API endpoints or even help with data models.

The Trade-offs for Small to Mid-Sized Businesses

The biggest hurdle for small to mid-sized businesses with NextJS is complexity. These are developer-centric tools.

• Higher Initial Cost: Building a NextJS site usually requires more specialized developers, meaning a higher initial investment than a WordPress site.
• Content Management: While you can integrate a “headless CMS” (like Strapi, Sanity, or Contentful) with NextJS, this adds another layer of complexity and cost. A headless CMS provides a backend for content editing, but the frontend (your NextJS site) pulls that content via an API. It’s a more modern approach, but it means managing two systems instead of one.
• Ongoing Maintenance: You’ll need access to developers familiar with JavaScript frameworks for updates and new features. This can be more expensive than finding someone to fix a WordPress issue.

Making Your Decision for 2026

So, how do you decide? It comes down to your priorities for content management, budget, performance, and long-term flexibility. Here’s a quick comparison:

Here’s what I tell people when they ask me about their redesign options:

1. If your priority is easy content management for a non-technical team, and you need a wide range of standard features (blog, e-commerce, forms) without heavy customization: Stick with WordPress. It’s proven, the ecosystem is vast, and your marketing team will be able to add a blog post or change a product description without calling a developer. The initial setup and training are usually simpler. We often recommend WordPress for small businesses in Celina or Anna that need to manage a lot of changing content but don’t have an in-house tech person.
2. If your site is mostly static, informational, updates very rarely, and maximum speed/security are critical, and you’re okay with paying a developer for every content change: Consider an AI-generated static HTML/JS site. This is a niche, but for a business that basically has an online brochure, it can be a lean, fast option. Just be honest about your content update needs. If I were building a simple landing page for a new service or a basic online portfolio, I’d seriously look at this path.
3. If you need a highly custom web application, advanced integrations, or features that go beyond what a typical CMS offers, and you have the budget for specialized developers (either in-house or agency-based): Go with NextJS or a similar modern framework. You’ll get the performance and flexibility, but you need to factor in the higher development cost and the complexity of integrating a headless CMS if you need content editing capabilities. This is often the route for companies that need custom web applications or advanced user experiences.

Thinking About AI’s Role in Your Decision

AI isn’t a website platform itself; it’s a powerful tool that changes how you build websites.

For WordPress, AI can help you write better content for your blog posts (using tools like Clearscope or Surfer SEO), generate plugin configuration code, or even help debug issues. It doesn’t replace the core WordPress system, but it makes working within it more efficient.

For HTML/JS and NextJS, this is where AI really shines in development. It can generate entire sections of code, suggest styling, help write complex JavaScript functions, and even scaffold out database schemas. We use tools like Claude Code and Qwen Code daily to accelerate our development work, taking tasks that used to take hours and reducing them to minutes. This can significantly reduce the development time and cost, making these more advanced options more accessible.

When you’re evaluating partners, ask them how they’re using AI. Are they just talking about it, or are they actually running it day-to-day on projects? Knowing how to effectively prompt an AI model for clean code is a skill, and it can translate into faster delivery and potentially lower costs for you. This is one of the reasons to consider hiring an AI consultant or agency who understands these capabilities.

Your website is a business asset, not a hobby project, so don’t let hype pick it for you. I’ve watched clients fall in love with a shiny NextJS demo and then panic six months later when they need a headless CMS developer just to fix a typo. I’ve also watched clients stick with WordPress out of habit when their business genuinely outgrew it. Neither mistake is cheap. Figure out who’s actually going to touch this site after launch, what your real budget looks like over three years (not just at signing), and how fast your content changes. That answer tells you which of these three paths is yours.

I’ve sat on both sides of this line. 2Surge Marketing is a digital marketing agency – we run web development, SEO, and paid ads for clients day to day, with a team, project managers, and the overhead that comes with all of it. But I also do hands-on AI consulting work myself. I’m the one installing Claude Code, standing up MCP servers that authenticate against Google Cloud Console for Search Console data, and configuring agentic platforms for clients. I don’t hand that off to somebody else and wait for a status update. Most people writing about consultant-versus-agency have only ever lived one side of it. I’ve lived both, and the honest answer depends less on which model is “better” and more on what you actually need done.

What an AI consultant actually does

An AI consultant is usually one person, sometimes with a subcontractor or two they pull in for specialized work. Their value is depth, not headcount – years spent inside one corner of AI, whether that’s natural language processing, machine learning for data analysis, or automation built specifically for marketing workflows.

Strategy in, blueprint out

A consultant looks at how your business actually runs today, finds where AI could realistically help, and tells you how to do it. That’s the job. They audit your workflows and map out where an AI system could speed up content production, tighten your ad spend, or handle first-line customer questions.

Say a consultant comes in and looks at a small business’s content pipeline. They might recommend using Claude Code to draft blog posts off Clearscope outlines, or setting up N8N as part of a broader marketing automation setup – pulling data out of Google Analytics and generating a weekly performance report automatically. What you get at the end is a strategy document, not a working system.

Here’s the part people don’t expect: consultants generally don’t build anything. They hand you the blueprint. Then it’s on you to find someone – your own team, a contractor, an agency – to actually build and run what they recommended. I’ve watched clients pay good money for a sharp, well-written strategy doc that then sat in a shared drive for eight months because nobody on staff had the time or the skill to execute it. That’s not a hypothetical. That happens constantly.

When hiring a consultant is the right call

A consultant is a strong first move if you genuinely don’t know where to start. They’ll help you figure out what’s worth automating before you spend real money building anything. And if you already have developers or IT staff who can handle implementation but nobody who understands AI strategy specifically, a consultant fills exactly that gap.

Take a small e-commerce shop in Frisco trying to personalize product recommendations. A consultant looks at their sales data, their WooCommerce setup, and how their customers segment out. They might recommend an open-weight model like DeepSeek for the recommendation engine, then map out exactly how product data and customer behavior should feed into it and back out to the site. What they won’t do is set up the DeepSeek server themselves. They’ll tell you precisely how it needs to work, and leave the wiring to someone else.

What an AI agency does differently

An agency – 2Surge included – is built for the whole job, not just the diagnosis. We have developers, data people, project managers, sometimes marketing specialists, all under one roof. That means strategy, build, deployment, and upkeep can all happen under a single contract instead of getting handed off between three different vendors.

End to end, not blueprint and goodbye

Hire an agency and you’re generally getting all of the following:

• Strategy work similar to what a consultant would deliver, but folded into a larger engagement
• The actual build: custom MCP servers for Search Console data, Python scripts for data entry, agentic platforms like Open Claw configured to handle support queries
• Deployment into your existing systems, not a proof-of-concept sitting on someone’s laptop
• Training your team on how to run and troubleshoot what got built
• Ongoing maintenance – because data sources shift, APIs get deprecated, and models drift and need retraining

Picture a mid-sized law firm in Dallas that wants a system to summarize legal documents using an LLM. An agency sets up the cloud infrastructure, integrates something like Qwen Code, builds the interface, and then keeps an eye on performance and security for as long as the contract runs. That’s not a one-person job. It never was.

What it costs you

Scale and breadth cost money. Agencies run more expensive than solo consultants because you’re paying for a team and everything that keeps a team functioning. Decisions can also move slower – more people in the room means more coordination, and coordination is not free.

Combining the two – and when that’s actually smart

A lot of businesses do best with both, in sequence rather than at the same time.

Consultant first, agency second

Hire a consultant to get the strategy and the roadmap sorted. They define the problem, pick the right tools, and spell out the technical requirements. Once that plan exists, an agency takes it and builds.

This order saves money. You’re not paying agency rates during the exploratory phase, when nobody knows yet exactly what’s getting built. Once the plan is locked, the agency executes against something concrete instead of guessing. A restaurant chain in Plano, for instance, might bring in a consultant to figure out whether AI can forecast ingredient needs and cut waste. The consultant delivers the plan. Then the chain hands it to an agency to wire the predictive model into their existing POS and inventory systems.

The fractional AI lead option

There’s a third model worth knowing: a fractional AI lead. This is usually a senior consultant working a fixed number of hours per week or month, acting like an in-house AI director without the cost of a full-time hire. They vet agencies on your behalf, manage the project, and keep the whole thing aligned with what your business actually needs – the kind of day-to-day judgment call an agency team, moving by committee, isn’t always built to make fast.

Consultant vs. agency, side by side

How to actually decide

This comes down to your internal resources, your goals, and your budget – in that order, honestly.

What do you already have in-house?

If you’ve got developers or IT staff who can build and maintain a system, a consultant supplying the strategy might be all you need – they point, your team builds. If your team understands AI concepts but is missing depth in one specific area, a specialist consultant closes that gap. If you have zero internal AI experience, an agency that can carry the whole thing is usually the safer bet.

What are you actually trying to do?

Still figuring out whether AI is worth it for, say, SEO keyword research through Surfer SEO? Start with a consultant. Already know you need a working AI agent handling Tier 1 customer support? Skip the exploratory phase – go straight to an agency that can build and deploy it. A quick audit is a consultant’s job. Ongoing system management and continuous improvement is an agency’s.

What’s the budget, really?

Consultants cost less upfront, which makes them the accessible option when you’re testing the water. Agencies mean a bigger check, because you’re funding the full build and everything after it.

Red flags that apply to either one

Watch for vague promises about how a solution actually works for your business – buzzwords instead of specifics are a problem either way. A few concrete things worth checking before you sign anything:

• Ask them to name the actual models and platforms – Anthropic’s models, GPT, Qwen, DeepSeek, whatever. “Our proprietary AI” with no further detail means dig deeper or walk away.
• Ask about process – how they gather requirements, how they test, what deployment actually looks like. No answer, or a vague one, tells you something.
• Ask how they handle your data – if nobody’s asking about data quality or integration before quoting you a price, that’s backwards.
• For agencies specifically, ask about the maintenance plan – AI systems are not “set it and forget it,” and anyone who implies otherwise hasn’t run one long enough to know better.

Then there’s AI-washing, which deserves its own line: watch for agencies dressing up a couple of chained API calls as an “AI-powered enterprise solution.” If it’s just ChatGPT plus Zapier under a nicer label, you’re paying premium rates for something you could largely build yourself with a weekend and a decent tutorial.

What I tell small and mid-sized businesses specifically

Resources are tighter here, so the stakes on this decision feel bigger. My honest read, for most of the North Texas businesses I work with: start with a consultant or a fractional arrangement. Figure out what’s actually worth automating, and what it’s actually worth to your business, before you’re paying agency rates to build it.

At 2Surge, we usually start client work with a discovery phase that functions a lot like a standalone consulting engagement – we spend real time on their business, their goals, their existing stack, before anyone touches a build. Skipping that step is how you end up with an expensive system solving a problem nobody actually had.

Ownership matters more than people think

With a consultant, accountability usually ends the moment they hand over the strategy doc. What happens next – implementation, results, all of it – is yours. With an agency, accountability for the running system, and often for the outcomes it produces, stays with them.

Structuring a bigger engagement in phases

For anything substantial, break it into phases with real milestones instead of one big undefined scope:

• Discovery and strategy – define the opportunity, assess readiness, produce a roadmap. Lower, fixed fee.
• Proof of concept – a small working prototype that tests whether the idea actually holds up. Moderate, fixed fee.
• Full implementation – build and deploy the real system, train the team, document it. Higher cost, usually milestone-based.
• Ongoing maintenance – keep it stable, tune performance, adapt as things change. Monthly retainer.

Phasing it this way keeps risk contained, and it gives you an exit point at every stage if the early findings say the project isn’t worth finishing as originally scoped.

Whichever way you go, the partner you want is the one who’ll show you exactly how their solution works for your business specifically – not the one with the smoothest pitch deck.