$2.59T
worldwide AI spending forecast for 2026, up 47% year over year (Gartner, May 2026)
<20%
of organizations deploying AI report seeing meaningful results (McKinsey, State of Organizations 2026)
2 in 5
organizations now turn to outside consultants for AI and digital transformation help (UK Management Consultancies Association, 2026)
What's Included
Strategy Before You Spend on Engineering
A good AI consulting engagement rules out the ideas that will not move a real metric before anyone writes production code.
Use Case Discovery
Workshops with your stakeholders to translate business problems into AI use cases that are realistic to build and measure.
Data Readiness Assessment
Check what data actually exists against what each use case needs, before you commit budget to a build that cannot work.
ROI Sizing
Size the expected return of each idea, so ones that sound exciting but would not move a real metric get ruled out early.
Vendor & Build Decisions
Compare an off the shelf platform against a fully custom model, with an honest recommendation either way.
Governance & Risk
The governance and risk policy your company needs before putting AI into a real workflow, covering data privacy and model risk.
Prioritized Roadmap
A clear, sequenced roadmap your own team can execute, or that our development team builds next with no handoff gap.
Our Process
How an AI Consulting Engagement Works
Four stages from first workshop to a roadmap your team, or ours, can actually execute.
1. Discovery Workshops
We sit with your stakeholders to translate business problems into candidate AI use cases, before any technical work starts.
2. Data Readiness Audit
We check what data actually exists against what each candidate use case needs, so budget never goes toward a build that cannot work.
3. Prioritization & ROI Sizing
Every surviving use case gets sized against expected return, so the exciting idea that would not move a real metric gets ruled out early.
4. Roadmap Delivery
You get a sequenced roadmap your own team can run with, or Codioo's development team can pick up next with no handoff gap.
How Pricing Works
Every Engagement Is Quoted After Scoping
Cost depends on whether you need a focused readiness audit, a full strategy and roadmap engagement, or an ongoing fractional advisory arrangement. Share your business problem and we will scope the right engagement and quote it.
| Engagement | Best for | Timeline |
|---|---|---|
| Readiness audit | Confirming a use case before you commit budget | 2 to 4 weeks |
| Strategy & roadmap | A full plan across multiple use cases | 4 to 8 weeks |
| Fractional advisory retainer | Ongoing strategic input as you build | Ongoing |
Already know what you want to build? Skip straight to AI development services and save the consulting phase.
Consultant vs In-House Hire
Should You Hire a Consultant or an In-House AI Lead?
An artificial intelligence consultancy engagement makes sense while you are still validating a use case. A full-time hire makes sense once AI is a permanent, ongoing program.
| Factor | In-house AI lead | AI consulting (Codioo) |
|---|---|---|
| Time to start | 2 to 4 months to hire and onboard | Engagement starts within days |
| Cost structure | Ongoing annual salary, regardless of workload | Quoted per engagement, no salary overhead |
| Objectivity | May favor tools they already know | Vendor neutral, no platform to protect |
| Bandwidth | Limited to one person's time | A full team available once you decide to build |
| Best for | Large, ongoing AI programs | Validating a use case before committing headcount |
Start Your Engagement
Book a Free Intro Call
Tell us the business problem you are trying to solve. A senior consultant will tell you honestly whether AI is the right tool, and what a scoped engagement would look like.
Vendor Neutral Advice
We are not paid to push one platform
Build It After, If You Want
No separate vendor search once the roadmap is set
Related Services
Talk to a Senior Consultant
// free intro call · no commitment
An AI consultant audits your data and workflows, prioritizes which AI use cases are worth funding, assesses data readiness, and delivers a roadmap a development team can execute. Read our full guide to what AI consultants do.
Cost depends on whether you need a focused readiness audit, a full strategy and roadmap engagement, or an ongoing fractional advisory arrangement. Share your business problem and we will scope the right engagement and quote it.
Hire an AI consultant when you are not yet sure which use case is worth funding. Hire a development company once the use case is validated and ready to be built.
Not exactly. A machine learning consultant is a technical specialist focused on building and tuning models. An AI consultant usually works at the strategy and governance level above that.
A focused strategy or readiness audit typically takes 2 to 8 weeks. Ongoing fractional advisory arrangements run monthly for as long as needed.
Yes. Unlike a pure strategy firm, Codioo can hand your roadmap straight to an engineering team and ship the product, with no handoff gap.
Nothing formal. Bring the business problem you are trying to solve and whoever owns that process. We will ask about your data and systems during the workshop itself.
We tell you plainly and scope a data readiness plan first. Building on data that cannot support the use case is the single most common reason AI projects fail.
Yes. We often work alongside an existing data or engineering team, handling strategy, prioritization, and vendor decisions while your team stays focused on delivery.
Not Sure What to Build Yet?
Book a free intro call with a senior AI consultant. Honest advice, vendor neutral, and a roadmap you can act on either way.