Services · Artificial intelligence · AI consulting and strategy

Know which AI projects to fund before you fund them.

Q: Will you just recommend building with Codeeo?

No. Sometimes the right answer is a tool you already pay for. We compare building, buying and extending existing licences for every use case. If Microsoft Copilot or an existing product covers the need, we say so. You are under no obligation to use us for any build that follows.

Q: Can you put a number on the return?

We estimate effort and value ranges, but we do not promise returns. We help you size the time and cost involved in each process today and what a working system could change. Those are estimates for planning. The pilot is where real evidence comes from, which is why every pilot has agreed measures.

Q: How much of our time does it take?

A few hours from each department head, plus a sponsor. We need short interviews with the people who run each process, read access to relevant documents and a senior sponsor to make prioritisation calls. Most of the analysis happens on our side between sessions.

Q: Do you cover risk and compliance?

Yes, risk is scored for every use case. Each use case is checked for data sensitivity, the need for human review and obligations under GDPR and the data protection law in each market. For deeper work on policies, red teaming and audit trails we run a separate AI governance engagement.

Q: What happens after the roadmap?

You choose who builds it, and when. Some clients ask us to build the first pilot straight away. Others take the roadmap to their internal team or another vendor. The documents are written so that anyone competent can pick them up.

Codeeo offers AI consulting for leadership teams that want a clear plan instead of scattered pilots. We look at your processes, data and systems, then tell you plainly which use cases are worth building, which can wait and which to drop.

Because we also build AI systems, our advice is grounded in what is practical to deliver, maintain and secure.

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Built for: Leadership teams, COOs and IT heads who are being asked for an AI plan and want one they can defend.
Typical timeline: A readiness assessment and use case shortlist usually takes two to four weeks, depending on how many departments are involved.
What you own: You keep the assessment, the scored use case register, the roadmap and any prototypes, ready to use with any vendor.
Rated: 4.7 / 5 from 23 Google reviews

200+ companies across the US and the UAEFrom a first store to a listed developer

What you get

What the consulting work covers.

Each piece produces a document or decision you can act on. You can take the whole set or only the parts you need.

Explain your project

AI strategy
We tie AI to the goals already on your board agenda, such as margin, service levels or growth in a new market. The strategy names the areas to invest in and the areas to leave alone for now.
Leadership agrees on what AI is for in your company before money is committed.
Readiness assessment
We review your data quality, systems, security posture, skills and policies against what AI work needs. The result is a plain report of strengths, gaps and the fixes that come first.
You see the real blockers early instead of discovering them halfway through a build.
Use case discovery
We interview department heads and front line staff to collect candidate use cases. Each one is scored on value, effort, data availability and risk in a shared register.
Ideas from across the company are compared on the same terms, not on who argues loudest.
Data and systems review
We trace where the data for each shortlisted use case lives, who owns it and how it can be reached. We check integration routes into your ERP, CRM and document stores.
Shortlisted projects are ones your data and systems can actually support.
Adoption roadmap
We sequence the chosen use cases into phases with owners, dependencies and decision points. Early phases favour quick, low risk work that builds confidence and skills.
You get a plan your teams can follow quarter by quarter without a consultant in the room.
AI product planning
If you plan to sell an AI feature or product, we define the users, the core workflows, the model approach and the first release. We also flag the costs that grow with usage, such as model calls and storage.
Your product team starts building with a scope that is realistic for a first release.
Build, buy or extend
For each use case we compare building a custom tool, buying an off the shelf product or extending what you already license, such as Microsoft Copilot. We set out the trade offs in control, cost and lock in.
You avoid paying for custom work where an existing tool would do, and the reverse.
Pilot design
We design the first pilot with a defined scope, test group, evaluation set and the measures that decide whether it moves forward. We can also build the pilot if you want us to.
The pilot ends in a clear yes or no decision, not an open ended experiment.

Who this is for

When consulting is the right first step.

Not every company needs a strategy phase. These are the situations where it saves the most time.

The board wants an AI plan

Leadership has asked for an AI strategy and nobody internally owns it yet. We give you a plan with priorities, risks and a sequence that you can present and defend.

Strategy and roadmap.

Too many ideas, no priorities

Departments have each suggested AI projects and some have started trials with different tools. We bring the ideas into one register, score them and agree a shortlist.

Use case discovery.

A pilot stalled

A previous proof of concept looked good in a demo but never reached daily use. We review why, whether the cause was data, scope, adoption or integration, and set out a route forward or a reason to stop.

Readiness review.

How the consulting engagement runs.

01ListenInterviews with leadership and department heads, plus a review of existing tools, data and policies.
02AssessWe score readiness and each candidate use case on value, effort, data and risk.
03PrioritiseA workshop with your leadership to agree the shortlist, the owners and the order of work.
04RoadmapA written roadmap and pilot plan, presented to your team and handed over in full.

How we work together

Scoped to the size of the question.

A single department review is short. A company wide strategy takes longer. We agree the scope and deliverables in writing before we start.

Discovery and pilot

Teams deciding where AI should start

A short, fixed piece of work: the use cases ranked, the data checked, and one pilot built against real examples so you can judge it on evidence rather than a demo.

Use cases ranked by value and risk
Data and systems review
A working pilot on your own examples
A written plan for what comes next

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Build and launch

A use case that is ready to go live

A written scope and a fixed quote, then the build: integrations, guardrails, an evaluation set and a launch with your team trained to use it.

Written scope and acceptance tests
Integration with your systems
Evaluation set and human review steps
Launch, training and handover

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Run and improve

AI that is live and needs looking after

A monthly plan to watch quality, cost and usage, update prompts and models as vendors change them, and add the next use case when the first one earns it.

Quality and cost monitoring
Model and prompt updates
A monthly report on usage and results
The same team that built it

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Technology

What we build this with.

Models are chosen per use case for quality, cost and where your data is allowed to go. The systems around them run on the stack below.

01Web

React
Next.js
TypeScript
Node.js
Laravel
WordPress

02Data and cloud

PostgreSQL
MySQL
MongoDB
AWS
Azure
Docker

Questions about AI consulting.

What do we get at the end?

A readiness report, a scored use case register and a phased roadmap.

The register lists each idea with its value, effort, data needs and risks. The roadmap sets out phases, owners and decision points. If agreed, you also get a pilot plan with an evaluation set ready to use.

Will you just recommend building with Codeeo?

Can you put a number on the return?

How much of our time does it take?

Do you cover risk and compliance?

What happens after the roadmap?

Services that usually go with this one.

Artificial intelligenceAI that does real work inside your business.AI security, risk and governanceUse AI with controls you can explain to an auditor.AI training and workshopsTeach your people to use AI well at work.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews

Know which AI projects to fund before you fund them.

What the consulting work covers.

AI strategy

Readiness assessment

Use case discovery

Data and systems review

Adoption roadmap

AI product planning

Build, buy or extend

Pilot design

When consulting is the right first step.

The board wants an AI plan

Too many ideas, no priorities

A pilot stalled

How the consulting engagement runs.

Scoped to the size of the question.

Discovery and pilot

Build and launch

Run and improve

What we build this with.

Questions about AI consulting.

Services that usually go with this one.

Tell us what the business needs. We will tell you what to build first.