AI development
AI Consulting Services
Arcesso's AI consulting helps startups and mid-market companies decide where AI pays off, then build it. Most engagements start with a fixed-fee, two-week AI readiness assessment that ranks your opportunities by payback and risk. The consultants are the engineers who build, so the advice reflects what actually ships. US-based team, US business hours.
Updated · By Tanner DeJean, Founder
Key facts
| Fact | Value |
|---|---|
| Entry offer | AI readiness assessment: two weeks, fixed fee, credited in full to the build |
| Engagement model | Fixed-fee assessment or advisory sprint, then optional build or monthly advisory retainer |
| Team | Senior engineers who also build; no separate sales-only strategy team |
| Models and platforms | OpenAI, Anthropic Claude, Google Gemini, open-weight models; n8n and Make; Vercel, Supabase, AWS |
| Who it suits | Startups and mid-market companies, roughly 5 to 500 people |
| Confidentiality | Mutual NDA within 24 hours of asking |
| Kickoff | Within 14 days of signing |
What is included
AI readiness assessment
A two-week, fixed-fee review that ranks your AI use cases by payback and risk and ends with a 90-day plan. The fee is credited in full to the build.
AI opportunity and ROI mapping
A ranked list of automations, agents and AI features, each with an estimated cost, payback period and risk level.
Data and systems audit
A review of where your data lives, how clean it is and which systems an AI feature would need to touch.
Vendor and model selection
Build vs buy advice and side-by-side model tests on your own examples, so you pick tools on evidence.
AI governance and policy drafting for SMBs
A practical AI use policy, data rules and approval steps sized for a small or mid-size company, not a bank.
31.6% CAGR
Projected AI consulting and support services market growth, from $14B in 2024 to $72.8B by 2030
+70%
Growth in US search share for "AI consulting" vs custom software development, Oct 2025 to Oct 2026
Source: Google Trends, anchored comparison (Arcesso research)
35%
Share of 1,000 business decision-makers who say AI development and implementation is integral to their business
Source: Clutch survey, May 2026
$120,595
Average AI development project size across agencies reviewed on Clutch, a reason to rank use cases before building
Source: Clutch, AI development pricing
AI consulting from engineers who build
Arcesso's AI consultants are the same senior engineers who build agents, automations and AI features. That matters because the hardest questions in AI planning are practical: is the data good enough, how much will the model cost per month, and what breaks when the vendor ships an update.
You get advice you can act on next week, not a slide deck about transformation. Every recommendation names the workflow, the tools involved, an estimated build cost range, the expected payback and the main risk.
Most clients start with the two-week AI readiness assessment. Some need a shorter advisory sprint on one decision, such as which model provider to standardize on or whether to buy a tool instead of building one. Either way, the scope and fee are fixed before work starts, and you can take the plan to any vendor, including your own team.
AI opportunity and ROI mapping
AI opportunity mapping turns a vague goal like "use AI" into a ranked list of specific projects. Arcesso interviews the people who do the work, looks at volumes in your systems and scores each candidate on payback, risk and effort.
A good first project repeats often, has a clear owner, uses data you already have and can be measured against today's numbers. Ticket triage, invoice extraction, lead qualification and after-hours phone answering often score well. Projects that need data you do not collect yet, or that touch regulated decisions, usually score lower for a first step.
Each item on the list includes an estimated build range, monthly running cost and payback period. That lets your finance lead compare AI projects with any other investment, using the same terms. We also mark which items are better served by an off-the-shelf tool, so you do not pay for custom work you do not need.
Build vs buy: choosing AI vendors and models
Buy when an off-the-shelf AI tool already does the job well, and build when your data, workflow or control needs make tools a poor fit. Arcesso bases the advice on tests with your data and your volumes, not on vendor marketing.
For model choice, we run side-by-side tests on your own examples across OpenAI, Anthropic Claude, Google Gemini and open-weight models, and report quality, speed and monthly cost for each.
The hybrid column is the most common answer for mid-size teams. A help-desk AI add-on might handle simple questions while a custom agent handles refunds that need checks across billing and orders. We write down the exit plan for every bought tool, so switching later is a planned move, not a rescue.
| Buy an AI tool | Build custom | Hybrid | |
|---|---|---|---|
| Time to value | Days to weeks | Weeks to months | Weeks |
| Fit to your workflow | Generic | Exact | Close |
| Data control | Vendor terms | You decide | You decide for custom parts |
| Ongoing cost | Per seat or per use | Hosting and model usage | Both, usually lower than either alone at scale |
| Best when | The job is common and standard | The job is core to how you compete | A tool covers 80% and the rest is specific |
Data and systems audit before you build
A data and systems audit shows whether your data can support the AI project you want. Arcesso checks where the data lives, how complete and consistent it is, who can access it and which systems an AI feature would need to read from or write to.
Most failed AI projects fail on data, not models. A support assistant cannot answer well from an outdated help center, and an extraction agent cannot match invoices to purchase orders that were never entered. The audit finds those gaps early, when fixing them costs the least.
You get a short report with each gap, its effect on the AI use cases you care about and a recommended fix with an effort estimate. Some fixes are quick, such as cleaning one table or exporting documents from a shared drive. Others belong on the roadmap before any AI build starts.
AI governance and policy for small and mid-size companies
AI governance for a smaller company means a few clear rules people actually follow. Arcesso drafts a practical AI use policy covering which tools staff may use, what data may go into them, who approves new AI features and how incidents are reported.
We also set up the controls behind the policy: no-training settings on model accounts where vendors offer them, masking of personal data, logging of AI decisions and human approval steps for actions that affect customers or money.
Arcesso does not provide legal advice or compliance certification. We write the operational policy and build the controls, and we recommend your counsel reviews anything tied to regulated data such as health or financial records. That split keeps the policy accurate and the controls real, instead of a document nobody reads.
When Arcesso is not the right AI consultant
Arcesso is not the right choice for an enterprise-wide AI strategy across many business units, a change management program for thousands of staff or a board-level operating model review. Large management consultancies are built for that work, and we will say so on the first call.
We are also a poor fit if you want a strategy document with no intention of building. Our advice is shaped by delivery, and it is most useful when you plan to act on it within a few months, with us or with another team.
Arcesso is a good fit when you are a startup or a company of roughly 5 to 500 people that wants a ranked, costed plan and a first project live within weeks. You talk to engineers at a US company with offices in Jacksonville, Florida and Arlington, Texas, and a senior engineer replies within one business day.
How we deliver ai consulting
- 1
Discovery call
30 minutes, free
An engineer asks about your goals, your team and the processes you think AI could help. If you need a large consultancy instead, we say so.
Deliverable: Fit decision and a recommended engagement within 3 business days
- 2
Interviews and data review
Week 1
We interview the people who do the work, review volumes in your systems and check data quality for the top candidates.
Deliverable: Long list of AI opportunities and a data gap list
- 3
Scoring and model tests
Week 2
We score each opportunity on payback, risk and effort, and run quick model tests on the top two or three using your real examples.
Deliverable: Ranked opportunity list with cost, payback and risk
- 4
Plan and readout
End of week 2
We walk your team through the ranking, the build vs buy calls and a 90-day plan, and answer questions on a recorded call.
Deliverable: 90-day plan, governance checklist and readout recording
- 5
Build or advise
Optional
You build the first project with Arcesso, with the fee credited in full, take the plan to your own team, or keep us on a monthly advisory retainer.
Deliverable: Fixed-price build quote or advisory schedule
FAQ
Questions buyers ask us
What does an AI consultant actually do?
An AI consultant helps a company decide where AI will pay off, which tools to use and what to build first. Arcesso's consultants are engineers who also build, so each recommendation includes a cost range, payback estimate and main risk. Most clients start with a fixed-fee, two-week AI readiness assessment.
How is Arcesso different from a large AI consultancy?
Arcesso's AI consulting is delivered by the senior engineers who build, not a separate strategy team. Engagements are small, fixed-fee and measured in weeks, and the output is a ranked, costed plan you can act on. Large consultancies suit enterprise-wide programs; Arcesso suits startups and companies of roughly 5 to 500 people.
How long does an AI consulting engagement take?
Arcesso's standard AI consulting engagement is the two-week AI readiness assessment, with a 90-day plan at the end. Shorter advisory sprints on a single decision, such as model choice or build vs buy, can take a few days. Kickoff happens within 14 days of signing, and a mutual NDA is available within 24 hours.
Do we have to build with Arcesso after the consulting work?
No. The plan, the opportunity ranking and the governance checklist are yours to use with any team. If you do build with Arcesso, the assessment fee is credited in full to the build. Many clients use the plan to brief their in-house engineers or to compare vendor quotes on equal terms.
Can you help us write an AI use policy?
Yes. Arcesso drafts a practical AI use policy for small and mid-size companies covering approved tools, data rules, approvals and incident reporting, and sets up the matching controls in your model accounts. Arcesso does not give legal advice, so we recommend your counsel reviews policies that touch regulated data.
Should we buy an AI tool or build our own?
Buy when an off-the-shelf AI tool already does the job and the data terms work for you. Build when the workflow is core to how you compete or the data must stay under your control. Arcesso tests both options on your own examples and often recommends a hybrid.
How much does AI consulting cost?
Arcesso prices AI consulting as a fixed fee agreed before work starts, never open-ended hours. The two-week AI readiness assessment is a fixed $3,999, credited in full to any build that follows, and consulting time is $175 per hour. The pricing page lists every price next to the market figure it beats.
Related services
- AI readiness assessmentA fixed-fee, two-week plan that ranks your AI opportunities by payback and risk.
- AI agent developmentProduction AI agents that read, decide and act inside your systems, with evals and a human in the loop.
- Software & IT ConsultingArchitecture reviews, AI-built app audits, fractional CTO support, roadmaps and build-vs-buy decisions.
Tell us what you need. An engineer replies within one business day.
Three fields to start. Book a 30-minute call on the same screen, or ask for a mutual NDA first.
Reply within one business day · mutual NDA within 24 hours · ballpark estimate within 3 business days