AI Consulting Services
Find out where AI helps your business and where it does not.
AI consulting services help you decide whether AI is the right answer to a business problem, which use cases to pursue first and what it would take to deliver them. NetOfficials gives you an honest assessment from senior engineers, written down as a plan you can act on, with or without us. Once a use case is agreed, our generative AI development services can build it.
- Building software since
- 2011
- Approved before the build
- Written scope
- Tracked in Jira
- Sprint demos
- Confirmed in the contract
- Your IP
What Is Included in Our AI Consulting Services
Consulting turns a vague idea about AI into decisions you can defend. This is what the work covers.
Use Case Discovery
A structured look at your processes to list where AI could help and where simpler software would do.
Value and Feasibility Scoring
Each idea is weighed on the benefit it could bring against the effort and risk it carries.
Data Readiness Review
We check whether the data you hold is enough, clean enough and allowed to be used.
Proof of Concept Plan
A small, testable experiment that shows whether an idea works before a larger spend.
Build, Buy or Partner Advice
A neutral view on custom development, ready-made products or a mix of both.
Written Roadmap
A prioritised plan with scope, risks and next steps that your board or team can review.
Who Our AI Consulting Services Suit
People come to AI consulting at different stages. These are the three we meet most often.
-
Leadership teams
Decide where to invest
Cut through the noise and pick a small number of AI projects worth funding.
- Ranked list of use cases
- Plain explanation of the trade-offs
- Written roadmap for review
-
Teams with a proposal in hand
Get a second opinion
Have senior engineers check a vendor proposal or an internal plan before money is committed.
- Review of scope and assumptions
- Check on data and risk
- Clear list of questions to ask
-
Teams ready to test an idea
Prove it small first
Plan a narrow experiment so you learn what works without building the whole thing.
- Defined success measure
- Scoped proof of concept
- Path to a full build if it works
Consult First or Start Building?
Some ideas are clear enough to build straight away. Others need testing on paper first. We help you tell which is which, and we say so plainly if a consulting phase is not needed.
A consulting phase first is usually wiser when
- You are not sure which problem to solve with AI
- You do not know if your data is good enough
- Several teams want different AI projects
- You have a proposal you cannot judge yourself
| Consideration | Consult first | Start building |
|---|---|---|
| Clarity of the problem | Helps when it is still vague | Needs a clear goal already |
| Risk of building the wrong thing | Reduced by early checks | Found later, when change is costly |
| Time to a working system | Starts later | Starts sooner |
| Data questions | Answered before commitment | Discovered during the build |
| Spend before you know | Small and bounded | Larger and tied to the build |
| Best for | Unclear scope or unproven data | A well-defined use case with known data |
How We Deliver Your AI Strategy
Every project moves from a written scope to agreed review points, so you always know what is happening and what comes next.
Listen and Frame
We learn your goals, constraints and past attempts, and agree which questions the engagement must answer.
Agreed questionsExplore Use Cases
Workshops and process reviews produce a long list of ideas, which we then narrow down with you.
Ranked shortlistTest Feasibility
We examine your data, systems and risks for the top ideas, and run a small experiment if it helps.
Evidence on each ideaRecommend
We set out what to build, buy or leave alone, with reasons and the risks of each path.
Clear recommendationHand Over the Plan
You receive a written roadmap and scope, which you may take to any team, including ours.
Written roadmap
What Affects the Cost of AI Consulting
Consulting effort depends on how much needs untangling, so we scope each engagement individually. The written scope states how these factors apply before you approve it.
Breadth of the question
Assessing one process takes less time than reviewing a whole organisation.
People to involve
More teams and stakeholders mean more workshops and interviews.
State of your data
Data spread across many systems takes longer to inspect and judge.
Whether an experiment is included
A hands-on test adds engineering effort beyond desk research.
Risk and legal review needs
Sensitive data or regulated areas add review steps. We confirm these in discovery.
Depth of the deliverable
A short recommendation costs less to produce than a detailed roadmap with a business case.
Why Choose NetOfficials for AI Consulting
The working terms below are part of every engagement, not extras.
One Cross-Functional Team
Design, development, testing and DevOps run through a single team, so decisions stay connected.
Senior From Day One
The senior engineer who scopes your work stays involved while it is delivered.
You Own Everything
IP assignment is confirmed in the contract, and you receive the full source code and documentation at handover.
Mutual NDA
We sign a mutual NDA before you share the details of your project.
Your Working Hours
We agree a communication window that suits your time zone at the start.
Visible Progress
Work is tracked in Jira, with a demo and your feedback at the end of every sprint.
Flexible Ways to Work With Us
Pick the model that fits where your project is today. You can move between them as it grows.
Project Delivery
We deliver an agreed scope, timeline and price.
- Written discovery scope
- Milestone reviews
- Best for a clear first release
- For ongoing work
Dedicated Team
A team that works only on your project, led by a named delivery lead.
- Cross-functional team
- Sprint demos and planning in Jira
- Scale the team up or down
Team Extension
Specialists who join your existing team, tools and processes.
- Works in your process and tools
- Agreed overlap hours
- Best for adding a missing skill
More From Our AI Development Practice
This service is part of our ai development practice. These pages cover the services most often needed alongside it.
AI Consulting FAQs
What does an AI consultant actually do?
They help you decide whether AI suits a problem, rank the options, check your data and risks, and write a plan. A good consultant will also tell you when AI is not the right tool.
Do we need to have our data ready first?
No. Checking data readiness is part of the work. We look at what you hold and say what is usable, what needs cleaning and what is missing.
Can you tell us not to use AI?
Yes. Where a rule, a report or a small piece of ordinary software solves the problem better, we say so and explain why.
What do we receive at the end?
A written assessment and roadmap covering ranked use cases, data findings, risks and recommended next steps. It is yours to use however you choose.
Are we obliged to build with NetOfficials afterwards?
No. The plan is written so another team could pick it up. If you do want us to build, we turn the plan into a scope you approve first.
Who will be involved from your side?
The senior engineer who scopes the work stays involved, and a named delivery lead owns the engagement. We agree a communication window that suits your time zone.
Ready to Find Where AI Fits?
Share a few details. A senior engineer reads every brief and replies with questions and a suggested next step.
- We review your briefAnd reply with questions
- We sign a mutual NDABefore you share the details
- You get a written scopeTeam, timeline and model, before any commitment