Workflow map
Where time and errors pile up in each team, drawn from workshops with the people doing the work.
For owners and leadership teams hearing about AI everywhere: a ranked plan of what to build, buy, or skip, checked against your own data and budget.
Top 3
AI use cases ranked
100%
Ideas checked against your data
How your project runs
01 · FreeTeams we have built for:








The Problem
It starts when a board member, a vendor, or a competitor brings up AI. Your team tries a few tools, pays for licences, and still can't say what actually changed.
Unused licences
AI tools get bought before anyone defines the job.
Unused licences
Each tool choice follows a scored use case with a named owner.
Data surprises
Pilots stall when the data turns out to be messy.
Data surprises
A data readiness check runs before any build or purchase decision.
Shadow AI
Staff paste customer data into free chat tools.
Shadow AI
A short usage policy sets which tools and which data are approved.
No budget
Ideas arrive with no running cost attached.
No budget
Each pilot plan lists build cost, licences, and monthly model usage.
Your team signed up for a handful of AI tools, and most of the licences sit unused. A vendor demo promised to automate your support inbox, but nobody checked whether your help articles are current. Someone pasted customer data into a free chatbot, and now legal is asking questions. Every department has its own AI wish list, and none of the ideas has a cost attached. Meanwhile, the work that eats your week, like quoting, scheduling, or chasing invoices, hasn't changed.
We start with how work really moves through your business, not with a list of AI tools. Each idea gets scored on value, effort, data readiness, and risk, then checked against your actual systems. You leave with the top 3 use cases, a build, buy, or wait call for each, and a costed pilot plan. If the honest answer is a cheap tool or no AI yet, that is the answer you get.
Use cases ranked, not listed
Every idea scored on value, effort, data readiness, and risk, so the order is clear.
Checked against your data
Each shortlisted idea is tested against the systems and records it would really depend on.
Build, buy, or wait
A clear call for each use case, with vendor options and rough running costs attached.
Our AI Consulting Services Process
You see the scoring before the ranking, approve the shortlist before we check data, and get a plan your team can act on without us.
We talk through your business, your current tools, and what prompted the AI question. You get an honest view of whether consulting is worth it now, plus a written scope and a fixed price.
What's Included
A decision-ready plan instead of a stack of slides: the workflow map, scored use cases, data checks, vendor comparisons, a costed pilot, and a usage policy.
Compare Options
Large consultancies and AI tool vendors both bring real strengths. Here is how they compare on cost, neutrality, and whether anything gets built after the advice.
| Feature | DeveloperLookBest fit | Big Consultancy | Tool Vendor |
|---|---|---|---|
| Starting point | Your workflows and data | Industry frameworks | Their product's features |
| Recommendations | Tools and custom builds compared | Often tied to partner platforms | Their own tool first |
| Data checks | Real systems checked per idea | Sampled in interviews | Checked during onboarding |
| Market research | Focused on your top ideas | Broad market and benchmark research | Deep on one product |
| Time to a plan | 1 to 4 weeks | Often a multi-month program | Days, for their tool |
| Building the pilot | Same team can build it | Usually handed to others | Setup inside their tool |
| Cost | Fixed price from $850 | Higher day rates | Free advice, paid licences |
| Ownership | Roadmap and policy you keep | Report you keep | Tied to their platform |
Projects We've Built
Products we designed and built for startups and growing companies, from SaaS dashboards to finance apps. They show our delivery work, not past consulting engagements.




What Our Clients Say
Feedback from teams we have built apps, platforms, and websites for.
We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.
The mobile experience is probably my favourite part of the new site. We had spent a lot of time making sure the desktop version looked right, and the team kept pushing us to think about how everything would actually feel on a phone too. They were right. The navigation is clean, the interactions feel natural, and everything we’ve tested so far works exactly as it should. They also went through the links, forms, integrations, and other details more than once before launch, which I really appreciated. And even after going live, we could still reach out when something came up. The whole process felt friendly, organised, and surprisingly straightforward.
What I appreciate most is that the website is actually easy for us to manage now. We can update content ourselves instead of sending a developer a message every time we need to change something small. They also paid attention to the technical SEO side, which mattered to us because we didn’t want a new website to create problems for the traffic we already had. I’ve probably asked more questions than I should have since launch, but every question has been handled patiently and without any fuss. The team is easy to work with, they explain things clearly, and when we need something changed, they focus on getting it done rather than making the process complicated.
1,250+
Projects shipped
10+
Years of experience
Top 3%
Upwork Top Rated Plus
5 stars
Average review score
1,250+
Projects shipped
10+
Years of experience
Top 3%
Upwork Top Rated Plus
5 stars
Average review score

Want results like these?
Tell us what you are building. You get a reply within 24 hours on business days, then a written estimate.
Work Culture
Good AI business consulting tells you what not to do as often as what to do. Six habits keep our advice practical, comparable, and tied to your numbers.
Some problems need a better process or a cheaper tool, not AI. If a simple fix covers your case, we'll tell you before we quote any further work.
We compare off-the-shelf tools, open-source options, and custom builds with the same scoring. You see the trade-offs of each, including the options that don't involve us.
We interview the staff who handle the quotes, tickets, and invoices, not only managers. Their answers decide which ideas survive the scoring.
Each recommendation lists build cost, licences, and expected monthly model usage. You decide with numbers in hand instead of enthusiasm.
We flag which data must stay out of public AI tools before anyone experiments. If you sell into the EU, we mark use cases your counsel should check against the EU AI Act.
Our consulting sits next to the engineers who build our AI projects. So the plan reflects what is realistic to build, not what sounds good in a workshop.
Overview
DeveloperLook provides AI consulting services that turn scattered AI ideas into a ranked, costed plan. We map your workflows, score each use case on value, effort, data readiness, and risk, check it against your systems, and compare tools with custom builds. Engagements start at $850 and run 1 to 4 weeks, and each one ends in a pilot plan you can approve.
DEVELOPERLOOK
Project facts · AI Consulting Services
Reviewed 28 Oct 2026 by Saimul Islam
Good fit
Small business owners curious about AI
You keep hearing that AI will save time, but you need someone to say which part of your business it fits, and what it will cost.
Leadership teams under board pressure
Your board asked for an AI strategy, and you'd rather present a ranked, costed plan than a list of tools someone saw in a demo.
Startups planning AI features
You're deciding whether AI belongs in your product, and you want a build, buy, or wait answer before you spend months of engineering time.
Teams with unused AI licences
You already pay for AI tools nobody uses, and you want to know which ones to keep, which to drop, and what to try next.
Agencies needing an AI partner
Your clients ask about AI, and you want an AI consulting agency behind you that runs workshops and plans under your brand.
Not a fit
Budget under $850
You want AI advice but have less than $850 to spend. Free vendor webinars and a short trial of one tool are a sensible first step.
Already know the build
You've chosen the use case and need it built. Go straight to RAG Development Services or AI Agent Development Services for a fixed build quote.
Need formal AI governance
You need an AI management system or ISO/IEC 42001 readiness. Our AI Governance Consulting page covers policies, controls, and audit preparation.
Want a full-time AI lead
You need someone inside your company leading AI every day. Hiring an in-house lead fits better than a fixed consulting engagement.
Not sure we're the right fit?
Book a free call or message us. We'll tell you honestly whether we're the right team.
Pricing
These are starting points in USD. Your final price depends on how many teams we interview and whether we build a pilot, and you get a fixed proposal after a free discovery call.
For Agencies
You own the client relationship. We supply the AI advisory work behind it: workshops, use case scoring, data checks, and a costed roadmap your team presents under your brand. When the client wants the pilot built, the same team can build it.
White label: your client only ever sees your brand
Send the client's goals, teams, and current tools, under NDA if needed.
You get a workshop plan, a timeline, and a fixed price you can mark up.
We prepare and co-run the work, then hand you the finished roadmap.
Send the client's goals, teams, and current tools, under NDA if needed.
You get a workshop plan, a timeline, and a fixed price you can mark up.
We prepare and co-run the work, then hand you the finished roadmap.
The Right Technology for Your Project
The AI tools, build platforms, and business systems we compare for you, so recommendations rest on hands-on use rather than marketing pages.
FAQ
Straight answers on what AI consulting is, what consultants do, what it costs, and how to choose the right partner.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
AI consulting is advisory work that finds where AI can save time or improve decisions in your business, then plans how to do it safely. A good engagement maps real workflows, ranks ideas by value and risk, and checks your data. It ends with clear decisions on what to build, buy, or skip.
An AI consultant is a specialist who advises a business on where and how to use artificial intelligence, from use case choice to rollout. Some work alone, and others work inside a firm. At DeveloperLook, consulting sits next to the engineering team that builds the pilots, so plans stay realistic.
Our AI consulting services start at $850 for a focused opportunity review and $2,400 for a full strategy and pilot plan. A plan plus a built and tested pilot starts at $5,900. Prices are fixed per engagement rather than hourly, so you know the total before the first workshop.
For most small businesses, an opportunity review with us costs $850, covering covering up to 3 teams and 10 ideas. That gets you a ranked top 3, data spot-checks, and a build, buy, or wait call for each. Often the next step after that is a low-cost tool, not a custom build.
A good consultant studies how your work gets done, spots tasks AI can handle well, and tells you which tools or builds fit. Day to day, that means team interviews, idea scoring, data tests, vendor comparisons, and pilot pricing. The useful ones also tell you where AI is the wrong fix.
Expect six services from an AI expert: workflow analysis, use case scoring, data readiness checks, tool comparisons, pilot planning, and AI usage policies. Some, like us, also build the pilot and train your staff. The products you receive are usually a roadmap, a scoring sheet, a costed pilot plan, and a policy draft.
It is worth it when you're about to spend real money on AI tools or builds and aren't sure where they fit. A short review can stop a purchase that wouldn't pay off and point you to the one that will. If you only want to try a chat assistant, skip the consultant and run a free trial first.
Evaluate AI consulting firms on three things: workflow focus, data checks, and proof of what got built after their advice. Ask for a sample deliverable, how they score ideas, and who on their team will run your workshops. Be wary of firms that recommend one platform for every problem.
Choose an AI consulting company that prices the work up front, names who does it, and will say no to AI where it doesn't fit. Check that they cover data privacy and, if you sell into the EU, the EU AI Act. A partner that can also build the pilot saves you a handoff.
For startups, the most useful artificial intelligence consulting services cover product fit, build versus buy, and running costs before launch. That means testing whether a model can do the core task on real data, estimating model usage costs at your expected volume, and planning a small pilot. Broad strategy decks matter less at this stage.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
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