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AI Consulting Services: AI Strategy Consultants & Custom AI Development

Updated September 2026 · Written and maintained by the Progression Agency strategy team

Progression Agency provides AI consulting services for businesses: an honest assessment of where AI will pay off in your operations, a strategy and roadmap, data readiness, vendor and model selection, and custom AI development by the same team when you are ready to build.

On this page · 11 sections
  1. What is AI consulting?
  2. AI consulting and development services
  3. Key features and components
  4. Common integrations
  5. Governance and risk
  6. Our AI consulting process
  7. How much do AI consulting services cost?
  8. Technology we typically use
  9. Mistakes to avoid
  10. Why choose Progression Agency for AI consulting?
  11. Related services

The short answerAI consulting is advisory work that identifies which business problems AI can solve profitably, what data and systems that requires, and how to deliver and govern it, before money is spent on tools. A typical engagement moves from an assessment ($5,000-$15,000 as a planning figure) to a roadmap ($10,000-$40,000) and, where justified, a first custom AI build ($40,000-$200,000).

Cost ranges are US planning figures, not quotes.

AI consulting searches
Businesses search for AI consulting firms when they are being sold AI from every direction and need someone on their side of the table.

What is AI consulting?

AI consulting is expert advice on where and how to use artificial intelligence in a business: identifying and prioritizing use cases, assessing data and systems, choosing between vendors, models and custom development, and setting up the governance to run AI safely.

Most companies do not need a model built; they need a clear answer on which three processes AI will change, what it costs and what could go wrong. We give that answer in writing, and we can build it. For process automation see AI automation; for engineering services see AI app development, AI integration and AI agent development.

Strat — AI strategy. Where it pays off..
Assess — Readiness assessment. Data and systems..
Pick — Vendor and model selection. Buy vs build..
Pilot — Pilot design. Measurable..
Build — Custom AI development. Models and integrations..
Gov — Governance. Policy and monitoring..

AI consulting and development services

Projects we are most often asked to build.

AI strategy consulting

A prioritized list of use cases scored by value, feasibility and risk, with a phased roadmap and budget a board can approve.

AI readiness and data assessment

What data you have, its quality, where it lives and what must change before AI is reliable.

Vendor, model and build-vs-buy selection

Independent comparison of SaaS AI features, model providers and custom development for your case.

Custom AI and machine learning development

Assistants grounded in your documents, classification and extraction, forecasting and recommendation models, built and integrated by our engineers.

Generative AI consulting

Where large language models help, how to ground them in your data, and the guardrails, testing and cost controls production use needs.

AI governance and policy

Usage policies, risk assessment and monitoring aligned with recognized frameworks.

Where large language models help, how to ground them in your data, and the guardrails, testing and cost controls production use needs.

Key features and components

What separates a useful build from a costly one.

AI consulting: key components
FeatureWhy it matters
Use cases scoredMoney goes to the best case first
Written recommendationA decision you can act on
Data readiness planNo surprises in the build
Independent vendor viewNo commission bias
Measurable pilotEvidence before scale
Cost modelModel and infrastructure costs known
Risk registerWhat could go wrong, and controls
Build optionSame team can deliver

Common integrations

Where the value usually comes from.

Common integrations
SystemWhat we connect
DataWarehouses, CRMs, ERPs, documents
ModelsOpenAI, Anthropic, Google, open-weight models
CloudAWS, Azure, Google Cloud AI services
Business appsMicrosoft 365, Salesforce, HubSpot
AutomationWorkflow tools and RPA
AnalyticsBI platforms

Governance and risk

AI advice is only useful if it includes what could go wrong.

  • Risk assessment and governance follow the NIST AI Risk Management Framework.
  • Data handling respects the privacy obligations your industry already carries (for example HIPAA in healthcare).
  • Model outputs are evaluated against test sets before and after launch, with human review where decisions affect people.
  • We state when we would also like to build; the written recommendation stands either way.
How we deliver AI consulting
Scoring use cases by value against feasibility prevents the expensive pilot that never ships.

Our AI consulting process

We start from the business goals, score candidate use cases by value and feasibility, assess data and systems, compare vendors, models and custom options, deliver a written strategy and roadmap, run a measurable pilot and, if you choose, build and govern the production system.

How much do AI consulting services cost?

As planning figures, an AI readiness assessment commonly costs $5,000-$15,000, an AI strategy and roadmap $10,000-$40,000, a measurable pilot $20,000-$60,000 and a first custom AI build $40,000-$200,000 depending on data and integrations.

AI consulting cost ranges (planning figures)
ScopeTypical rangeTimeline
AI readiness assessment$5,000-$15,0002-3 weeks
AI strategy and roadmap$10,000-$40,0003-6 weeks
Measurable pilot$20,000-$60,0004-8 weeks
Custom AI development$40,000-$200,0002-6 months

Technology we typically use

Mainstream, maintainable choices.

Technology we typically use
LayerChoice
ModelsCommercial and open-weight LLMs, classic ML
RetrievalVector search over your documents
DataSQL, warehouses, pipelines
CloudAWS, Azure, Google Cloud
EvaluationTest sets, human review
GovernanceNIST AI RMF-aligned policies

Mistakes to avoid

Common causes of overruns and low adoption.

  • Starting with a tool instead of a problem.
  • Piloting a use case with no baseline to measure against.
  • Ignoring data quality until the model fails.
  • Buying AI features you cannot connect to your data.
  • No governance for staff use of AI tools.
  • Treating an LLM demo as a production system.
Scored — AI. Best case first..
Independent — AI. No vendor bias..
Measured — AI. Pilot evidence..
Governed — AI. NIST-aligned..
Costed — AI. Known run costs..
Buildable — AI. Same team..

Why choose Progression Agency for AI consulting?

Engineering, design and go-to-market in one team.

  • Consultants who also engineer AI systems, so advice is grounded in what ships.
  • Independent of vendors; recommendations in writing.
  • Governance included, not bolted on.
  • You own the code, data and accounts.
  • Headquartered in New York City, working nationwide.

See software consulting, AI app development, AI integration services, AI agent development and AI automation.

Ready to scope it?

Tell us the users, workflow and systems involved. We will propose a first release and planning estimate.

Get a proposal

Software and app development

Frequently asked questions

What do AI consulting firms do?
They assess where AI creates value in a business, plan how to deliver it, choose vendors or custom builds and set up governance.
How much do AI consulting services cost?
As planning figures, $5,000-$15,000 for an assessment and $10,000-$40,000 for a strategy and roadmap.
What is an AI strategy consultant?
An adviser who identifies and prioritizes AI use cases, plans data and systems changes and defines how AI will be governed.
Do you provide AI consulting for businesses of my size?
Yes; the method scales from a single-process pilot to an enterprise roadmap.
Do you build custom AI as well as advise?
Yes: custom AI development, integrations and agents by the same team.
What is custom AI development?
Building AI features specific to your data and workflows, such as grounded assistants, document extraction or forecasting models.
Are you a machine learning consulting company?
Yes; classic machine learning and generative AI are both in scope.
How do you choose between buying an AI product and building?
By comparing fit, data access, cost over time and risk, in a written build-vs-buy analysis.
How long does an AI strategy take?
Commonly 3-6 weeks.
What is AI readiness?
Whether your data, systems and people can support a reliable AI use case.
Do you help with generative AI?
Yes: use cases, grounding in your data, guardrails, testing and cost control.
How do you measure an AI pilot?
Against a baseline metric agreed before the pilot starts.
What frameworks do you use for governance?
The NIST AI Risk Management Framework and your industry’s privacy rules.
Do you work with our existing vendors?
Yes, and we say independently whether they fit.
Can you train our staff?
Yes, on policy and practical use.
How do you rank among top AI consulting firms?
We do not publish rankings; we publish our method and put recommendations in writing you can take to any vendor.
Do you sign NDAs?
Yes, before discovery.
Who owns the deliverables?
You do: strategy, roadmap, code and models built for you.
Can you also automate processes?
Yes; see AI automation.
Where is Progression Agency located?
New York City, serving clients across the United States.
What do AI strategy consulting services include?
Use-case scoring, a data readiness plan, vendor and model selection, a phased roadmap with budget, and governance.
How do machine learning consulting companies differ from AI consulting firms?
Machine learning consulting companies focus on models and data science; AI consulting firms also cover strategy, vendors, generative AI and governance. We do both.

Need software built?We design, build and support custom software, web apps and SaaS platforms, with a written scope first.

Get a software proposal

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Tell us what you are trying to grow and we will come back with a plan, not a pitch deck. Same-day reply on weekdays.

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