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AI Consulting

AI consulting for small businesses: know exactly where AI fits

Cut through the noise with a clear, practical roadmap for where AI can realistically move your business forward.

AI opportunity shortlist
ProcessRecommendation
  • Client document intake

    Effort: Low · Value: High

    Start now
  • Inbound email triage

    Effort: Medium · Value: High

    Next
  • Proposal first drafts

    Effort: Medium · Value: Medium

    Later
  • Automated tax advice

    Effort: High · Value: Risky

    Not advised
Assessments are qualitative and agreed with your team
Illustrative example — not a client project.

What it is

A clear path from idea to implementation

Short answer

What does an AI consultant do for a small business?

An AI consultant looks at how your business actually runs, identifies the processes where AI or automation would save time or improve service, and turns that into a prioritized, practical roadmap — what to build first, which tools to use, what it involves and what to leave alone. It ends with a plan you can act on.

Who it's for

  • Owners and leadership teams who know AI could help, but not where
  • Businesses that have tried a few AI tools without a shared plan
  • Teams deciding whether to buy an off-the-shelf tool or build something custom

AI Consulting gives you a clear, honest assessment of where AI can realistically create value in your business — and just as importantly, where it can't yet. We start by understanding your current processes, systems, and goals before recommending anything at all.

From there, we build a practical roadmap: which processes to automate first, what AI readiness gaps need to be addressed, and what a realistic implementation timeline actually looks like given your resources and priorities.

This isn't a generic AI strategy deck built from templates. It's grounded in your actual business, your actual systems, and the actual problems you're trying to solve, not abstract industry trends.

If you choose to move forward with implementation, that roadmap connects directly into our AI Automation and AI Agents services, so the strategy turns into a working system rather than staying a document that sits unused on a shelf.

We also help you understand the tradeoffs of different approaches, so decisions get made with a full picture in view, not just enthusiasm for whatever tool is newest on the market.

The outcome is a plan your leadership team can actually stand behind, because it's built on a realistic understanding of your business rather than a pitch for a specific product.

Engagement formats

Ways to work with an AI consultant

Most small businesses want a defined scope and a clear price rather than an open-ended hourly arrangement. These are the common formats.

AI consulting engagement formats with typical small-business market ranges
FormatWhat you getBest fitTypical market range
Hourly advisoryAd-hoc calls and reviewsSmall, flexible questions$100–$300 per hour
Strategy assessmentProcess review and a prioritised AI roadmapMapping where AI fits before building$5,000–$25,000
Defined projectOne workflow or a single AI agent, scoped and builtA clear first use case$2,000–$15,000
Monthly retainerMonitoring, optimisation and continued supportAfter something is live$500–$3,000 per month

Typical market ranges for small-business and independent-consultant work, from published 2026 rate guides summarised in How much does AI consulting cost in 2026? — not our prices. We scope and quote every engagement individually.

Not sure you need a consultant yet? Check the signs your business is ready for AI automation, and if model choice is on the table, read how to think about Claude, GPT and Gemini. Consulting is most often where finance and manufacturing teams start, because the stakes of automating the wrong process are higher.

Problems it solves

Where things usually break down

Most businesses know they should be using AI somewhere — few know exactly where to start. These are the sticking points we see most often.

  1. 01

    Too many options, no clear priority

    Between tools, platforms, and use cases, it's hard to know which AI investment will actually move the needle for your specific business, versus which one just sounds impressive in a demo.

  2. 02

    Pilot projects that go nowhere

    Without a clear strategy behind them, AI experiments stay isolated and never scale into something that actually changes how the business operates day to day.

  3. 03

    Uncertainty about readiness

    It's often unclear whether your current data, systems, and processes can even support the AI initiatives you're considering, which makes it hard to commit to a direction with any confidence.

  4. 04

    Internal teams lack AI expertise

    Most internal teams are still building AI knowledge as they go, which slows down decision-making and makes it harder to separate genuinely useful tools from hype.

  5. 05

    AI feels risky without a plan

    Investing in AI without a clear strategy raises the risk of wasted budget and time, which makes leadership understandably cautious about moving forward with anything at all.

  6. 06

    Competitors are already moving

    While internal debate continues about where to start, competitors who've already invested in a clear AI strategy are quietly pulling ahead on efficiency and customer experience.

How it works

What actually happens, step by step

  1. 01

    Map how work happens

    Short interviews and a look at your tools and data, to see where time and money actually go.

  2. 02

    Weigh the opportunities

    Each candidate process is assessed for effort, value, risk and how ready your data is.

  3. 03

    Recommend honestly

    Buy, build, fix the process first, or leave it alone — with the trade-offs written down.

  4. 04

    Plan the first step

    A sequenced roadmap and, where it makes sense, a small pilot to test the idea before a bigger commitment.

Deliverables

What's included

Every engagement is scoped to what you actually need. These are the pieces we most often build and deliver as part of AI Consulting.

Diagram summarizing what's included in Tha Nexa Solutions' AI Consulting service: AI Strategy, Process Mapping, AI Readiness Assessment, Implementation Roadmaps
At a glance: four core parts of AI Consulting. The full list follows.
  • AI Strategy

    A clear, prioritized plan for where AI genuinely fits your specific business and goals.

  • Process Mapping

    Understanding how work actually moves through your business today, before recommending changes.

  • AI Readiness Assessment

    An honest look at whether your current data and systems can support AI initiatives.

  • Implementation Roadmaps

    A practical, prioritized plan for what to build, and in what order.

  • Tool & Platform Guidance

    Straightforward recommendations on which AI tools and platforms genuinely fit your needs.

  • Change Management Support

    Guidance on rolling out AI initiatives so your team actually adopts and uses them.

  • Vendor & Build Evaluation

    Objective guidance on whether to buy an existing tool or build something custom.

  • Pilot Program Design

    Small, low-risk pilots that prove out an idea quickly before you commit to a full rollout.

  • Executive Advisory Sessions

    Ongoing strategic guidance for leadership as your AI initiatives move from planning into execution.

Integrations & capabilities

The tools and skills behind it

AI Strategy
A prioritized plan connecting AI opportunities to real business goals.
Process Mapping
A clear picture of how work actually happens today.
AI Readiness
An honest assessment of your systems and data before investing.
Roadmaps
A practical, sequenced plan for what to implement and when.

What it changes

The right AI investment starts with clarity, not with buying the most talked-about tool on the market. Here's what that clarity actually gives you.

  • Reduce wasted investment in the wrong AI tools
  • Improve decision-making with a clear, prioritized roadmap
  • Increase operational efficiency by focusing on the right processes first
  • Scale AI initiatives with a plan built around your actual business
  • Move from uncertainty to a concrete, actionable next step

Example

Finding a first AI project for a professional-services firm

Illustrative scenario — not a client case study

The situation

A small accounting practice has staff experimenting with AI chat tools, but no shared plan or data-handling rules.

What changes

Leadership has one agreed starting point, and clear reasons for what's being left until later.

What we'd set up

  1. 01Interview partners and staff about where time goes each week
  2. 02Shortlist candidate processes and weigh effort, value and risk
  3. 03Recommend one pilot — client document intake — and defer the rest with reasons
  4. 04Set out what the pilot needs, how to judge it, and the rules for handling client data

Engagement process

How we work together

Every engagement follows the same five stages, run by the team you'll actually work with. You get a fixed scope and timeline after discovery, before any build work starts.

  1. 01

    Discovery

    We start by understanding your business, current systems, and where this service can have the most impact.

  2. 02

    Strategy & Design

    We map out the right approach and design the solution around your specific goals.

  3. 03

    Build & Integrate

    We build, configure, and connect everything to your existing tools and systems.

  4. 04

    Launch

    We deploy your solution and make sure everything runs smoothly from day one.

  5. 05

    Ongoing Support

    We monitor performance and make adjustments as your business and needs evolve.

FAQ

Questions about AI Consulting

Straight answers on scope, timelines and how it works. If yours isn't here, ask us on a free call.

AI Consulting is for businesses that know AI could help somewhere in their operations but aren't sure where to start, which of the many available tools and approaches would actually fit their situation, or whether their current systems and data are even ready for it. It's not a generic AI strategy deck built from industry templates — the engagement starts by understanding your actual business, processes, and goals, then builds a realistic, prioritized roadmap from there. It's especially useful for leadership teams that want a clear, honest assessment before committing budget to implementation, rather than reacting to whatever AI tool is getting the most attention in the market that month.

An AI consultant works out where AI can genuinely save time or money in your business, and where it can't yet. In practice that means mapping your current processes, checking whether your data and tools are ready, recommending specific tools or custom builds, estimating cost and payback, and handing you a prioritized plan your team can act on. A good consultant also tells you when the honest answer is to fix a process first, before spending anything on AI.

Yes, part of the engagement includes clear guidance on which tools and platforms genuinely fit your needs, rather than a generic list of popular options everyone else is using regardless of whether they actually fit. Recommendations are tied to your actual processes and budget, not whatever's trending.

We review your current data, systems, and processes to identify gaps that would need to be addressed before any AI implementation could realistically succeed, and we document them clearly so nothing is left vague or assumed. This often surfaces the real blocker before any AI tool is even considered.

Yes, you'll receive a practical, prioritized roadmap outlining recommended next steps and realistic timelines, not just a set of general observations with no clear path to actually acting on any of it. It's written so your team can act on it with or without us.

Consulting focuses on strategy and roadmapping specifically; implementation is handled separately through our AI Automation and AI Agents services, so you can move straight from plan to build with the same team, no handoff to a different vendor. You're also never obligated to continue into implementation with us.

Most engagements take two to four weeks, depending on the complexity of your business, your systems, and how many stakeholders are involved in reviewing and approving the roadmap before it's considered finalized. You'll get a specific timeline once the scope of the assessment is confirmed.

No, we work with businesses of different sizes to find AI opportunities that genuinely make sense at their specific scale, budget, and current level of technical maturity, not a scaled-down version of an enterprise package. The recommendations differ based on your actual situation, not a one-size template.

That's a valid and common outcome — we'll tell you honestly if the real priority should be fixing processes or data before investing in AI at all, rather than selling you something that won't actually work yet. An honest "not yet" is more useful than a project that was never set up to succeed.

Yes, part of our process includes helping leadership understand realistic AI opportunities and tradeoffs in plain, practical terms, so decisions get made with confidence rather than guesswork or hype-driven assumptions about what AI can actually do. This can include a dedicated session for leadership specifically, separate from the technical work.

You can implement it internally with your own team, or we can move directly into building it out through our automation and agent services, whichever fits your resourcing and timeline best going forward. There's no obligation to continue with us just because we wrote the roadmap.

Industries we help with AI Consulting

Ready to build a real AI roadmap for your business?

Book a free strategy call and we'll talk through how AI Consulting could work in your business — and tell you plainly if it isn't the right fit.

Book a free strategy call