Too many possibilities.
No agreed priority.
We help leadership and the people doing the work compare opportunities on a consistent basis. The result is a shortlist with reasons, dependencies and a first step for each candidate.
AI CONSULTING & READINESS ASSESSMENTSKnow where AI
Know where AI
is worth your
investment.
AI consulting and readiness assessments that turn a list of ideas into a prioritised plan, a business case and a practical first project.
Anteomnio helps business owners and operations teams turn AI ideas into an actionable plan. We examine the work, the systems and the economics, then define a first project with a credible reason to exist.
BUSINESS CASE BEFORE BUILDEXISTING TOOLS CONSIDEREDA BRIEF YOUR TEAM CAN ACT ON
FROM INTEREST TO A BUSINESS DECISIONYou have the ideas.
You have the ideas.
Which one deserves
the budget?
The support team wants an assistant. Finance wants less data entry. A vendor has demonstrated an agent that appears to do both. You need a way to compare the opportunities before committing to another system.
AI consulting gives those conversations a common basis: the work being improved, the evidence that an approach can help, the total cost and the people who will own it.
Anteomnio’s AI consulting services connect that assessment to implementation. We look beyond the demonstration to the data access, integrations, review steps and maintenance a working system needs.
If the useful next step is a feature in software you already pay for, better process rules or a smaller experiment, that belongs in the recommendation too.
WHEN AN OUTSIDE VIEW IS USEFULA different starting point.
01 / BEFORE A FIRST PROJECT 02 / BEFORE A PURCHASEA convincing demo.
03 / AFTER A STALLED PILOTIt works in a demo.
A different starting point.
The same need for clarity.
Too many possibilities.
A convincing demo.
An incomplete business case.
We examine the proposed tool against your actual inputs, access requirements and workflow. You get questions to resolve with the vendor and a clearer view of configuration, integration and ongoing costs.
It works in a demo.
It has not become useful work.
We investigate what prevents adoption: unreliable answers, missing integrations, extra review effort or a problem that was never worth solving this way. The recommendation can be to repair, narrow or stop the pilot.
A DECISION IN PRACTICE“Should we automate
“Should we automate
invoice entry?”
A sensible answer needs more than a list of AI features. This fictional assessment shows how a broad request becomes a bounded pilot, with evidence to collect before a wider rollout.
ASSESSMENT NOTEFINANCE
OPERATIONSExample / not a case study
OPERATIONSExample / not a case study
THE WORK TODAY
Read the attachment. Re-key the fields. Resolve the exceptions.
Finance receives invoices in several layouts, copies the details into an accounting system and asks a colleague to check unclear totals or supplier information.
- Volume, handling time and time spent correcting errors.
- Representative invoices, including credit notes and poor scans.
- Existing import features and access to the accounting system.
- Who reviews uncertain fields and approves payment.
Extract a defined set of fields into a review queue. Keep approval and payment with finance. Test against a sample whose correct answers have been checked.
Compare total handling time, including review and corrections, with the current process before expanding.
Proceed only if the whole workflow improves.
Fast extraction alone is not enough if every result takes longer to check. The pilot should also expose the documents it cannot handle and the work required to maintain the integration.
WHAT AN AI READINESS ASSESSMENT COVERSReadiness belongs to
Readiness belongs to
a particular use case.
A business can be ready for an internal knowledge assistant and unready for autonomous customer decisions. We assess each opportunity against the conditions it needs to work.
The work and its value
What happens today, how often, who does it and where the delay or rework occurs. We separate a recurring operating problem from a task that is simply interesting to automate.
The information available
Whether the necessary records exist, can be accessed and are suitable for the task. We identify missing examples, competing versions and preparation work before treating data as ready.
The systems around it
Where inputs originate and where outputs must go. Authentication, supported integrations, existing software features and vendor dependencies all influence the right approach.
The cost of being wrong
Which mistakes a person can catch, which actions need approval and when the system should stop. These decisions shape both the pilot and the effort needed to operate it.
The people responsible
A business owner, intended users and someone who can judge output quality. We look at changes to daily work, training needs and who will respond when something fails.
The full operating cost
Implementation, usage charges, human review, content upkeep and technical maintenance. We distinguish measured inputs from estimates and show what would change the conclusion.
PUT THE ECONOMICS ON THE PAGETime saved is a starting point.
Time saved is a starting point.
Value needs a fuller account.
Removing an hour of manual work does not automatically remove an hour of payroll cost. It may create capacity, shorten a response time or let the team handle more work. The business case should say which benefit you expect.
We establish a baseline from representative work, allow for review and exception handling, and compare that benefit with the cost to build and run the proposed system. Where an assumption is uncertain, we identify how the pilot will test it.
WHAT YOU TAKE AWAYA working decision brief.
A working decision brief.
Useful beyond the meeting.
The consulting scope defines the workflows and questions we will investigate. The deliverable connects the recommendation to its evidence, assumptions and next actions, so your team can review it and use it to commission work.
A reasoned shortlist
The opportunities to pursue, investigate further or defer. Each includes the problem, expected benefit, key dependencies and the reason for its position.
An implementation outline
Recommended tools or architecture, source systems, integration requirements and human review points. Unknowns are named alongside the evidence needed to resolve them.
Cost and benefit assumptions
Indicative implementation and operating costs, the current-work baseline and the assumptions behind the business case. Estimates are clearly separated from a fixed build quote.
A first-project brief
What the pilot includes, what it excludes, the inputs required, a responsible owner and criteria for continuing. A sequence for later work shows which dependencies must come first.
Keep the decision in your hands.
You can use the brief with your internal team, Anteomnio or another implementation partner. A recommendation is useful only if you can inspect its reasoning and decide what to do next.
HOW WE WORK TOGETHERClose to the people.
Close to the people.
Close to the work.
Agree the decision to make.
Start with the operating problem, candidate workflows and what you need to know before spending. We agree access, participants, deliverables and timing.
Follow real examples.
Walk through the work with its owners. Review samples, current systems and existing costs. Technical checks or a limited proof of concept are included only where agreed in scope.
Challenge the recommendation.
Review the findings together, test assumptions and resolve questions. The final brief records the chosen next step and anything still dependent on further evidence.
QUESTIONS BEFORE AN ENGAGEMENTA clearer brief
A clearer brief
starts here.
What does an AI consultant do for a business?
An AI consultant helps a business decide where AI can improve its work and what implementation would require. Anteomnio examines candidate workflows, available information, existing software, costs and operating responsibilities. The output is a recommendation and an actionable brief, which may favour existing tools, conventional automation or process changes over a custom AI build.
What is an AI readiness assessment?
An AI readiness assessment checks whether a specific use case has the information, systems, people and evaluation process it needs to work. It identifies gaps such as inaccessible records, inconsistent procedures or missing ownership, then explains which gaps need resolving before a pilot. Readiness is assessed for the proposed work rather than reduced to a single company-wide score.
Is AI consulting useful for a small business?
Yes, when the business has a recurring problem or investment decision worth investigating. A small business does not need an organisation-wide AI programme to benefit from consulting. A focused review of one workflow can help establish whether a current software feature, a simple integration or a limited AI pilot is the proportionate next step. If the problem and solution are already clear, direct implementation may be more appropriate.
How is AI strategy consulting different from development?
AI strategy consulting establishes priorities, feasibility, economics and the sequence of work. Development implements an agreed solution. A consulting engagement can include a limited technical investigation or proof of concept when explicitly scoped, but a production application is a separate deliverable. The brief should make the transition from recommendation to build clear.
Can you review a vendor proposal or an existing AI pilot?
Yes. We can scope a review around your requirements, representative inputs, integration needs, access controls and operating costs. For a stalled pilot, we investigate output quality, user adoption and the work still required to fit the real process. Access to the system and relevant documentation determines what can be verified; unresolved points are recorded as questions rather than treated as facts.
Will you recommend software we already use?
Yes. We assess existing products and conventional automation alongside custom development. If a current feature or suitable product meets the requirement, the recommendation can be to configure it. We still consider its limitations, data access, integration effort and recurring costs before treating it as the better option.
Do we need clean data before speaking to you?
No. Representative examples and someone who understands the work are enough to begin the discussion. During the assessment, we identify the data preparation needed for each use case. Some opportunities require better records or clearer procedures before a pilot; others can start with a smaller, well-maintained collection. We make that distinction part of the recommendation.
How do you estimate the return on an AI project?
We compare the current workflow with the proposed one, including human review, exceptions and maintenance. We use available evidence for work volume, handling time and costs, and label assumptions where measurements are missing. Released capacity, faster service and direct cash savings are treated separately. The pilot should test the assumptions that matter most; a forecast is not a guaranteed return.
How long does an AI consulting engagement take?
Timing depends on the number of workflows, access to the people and systems involved, and whether technical validation is included. We agree the schedule after defining the questions the engagement must answer. A focused assessment of one process has a different scope from reviewing several departments or investigating a live pilot.
How much does AI consulting cost?
A Systems Audit is $1,500 USD, credited in full to the build if you go ahead within 90 days. We first establish whether the Systems Audit fits the questions you need answered. A different consulting scope is priced separately before work begins. Implementation and recurring software or usage costs are distinguished from the consulting fee.
Do we have to use Anteomnio for implementation?
No. You can use the decision brief with your internal team or another implementation partner. It records the recommended approach, scope, dependencies and evaluation criteria so the next team can understand the reasoning. If you choose Anteomnio, the build is scoped and agreed separately.
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part of the work.
Which AI decision
are you trying to make?
Bring the idea, the vendor proposal or the pilot that has stalled. We’ll help establish what needs investigating and what a useful consulting engagement should resolve.
Talk through your options