ONE DOOR IN · ONE DOOR OUT
Turn business pain into verified AI outcomes.
ManageAI identifies where AI can genuinely help, turns the strongest opportunities into a costed and governed roadmap, coordinates delivery, and measures what actually worked.
- VENDOR-NEUTRAL
- EVIDENCE-LED
- HUMAN-APPROVED
- BUILT FOR SMES
Your managed AI department: a managed AI adoption and assurance platform for SMEs, from initial appraisal to verified outcome.
“Quoting takes days” · “Inspection reports pile up”
WHERE IT STARTS
The problems we hear from engineering SMEs.
Too many products and suppliers
Every vendor claims transformation. Nobody is accountable for the whole.
No clear place to begin
Which process first? Which tool? Who decides, and on what evidence?
Uncertain cost and return
Licences, tokens, cloud and consultancy blur into a number nobody trusts.
Limited internal AI expertise
There is no in-house team to evaluate claims or run what gets built.
Security and data concerns
Customer data, contracts and drawings cannot be pasted into just anything.
Experiments that never become services
Pilots impress in a demo, then quietly stop being used.
Staff anxiety and poor adoption
People fear replacement more than they trust the tooling.
No evidence of what worked
Money was spent; whether it changed anything is anyone's guess.
SEVEN QUESTIONS THE APPRAISAL AND ROADMAP EXIST TO ANSWER
- 01Where is our business losing time, money or capability?
- 02Is AI genuinely appropriate?
- 03Which opportunity should we prioritise?
- 04What evidence supports the recommendation?
- 05What will implementation require and cost?
- 06Who approves and delivers it?
- 07How will we know whether it worked?
GRAPH · HARNESS · LOOPS
Why ManageAI recommendations are defensible.
Every recommendation lives on a traceable graph, must pass a verification harness before it can progress, and is measured through governed feedback loops. Select an illustrative opportunity to inspect exactly what it rests on.
FENWICK PRECISION LTD — FICTIONAL SCENARIO · SYNTHETIC DATA
Graph — everything remains traceable
- Supporting pain
- Quotations take 3–5 days; two enquiries a month are lost to slower responses.
- Evidence
- Six months of enquiry-to-quote timestamps from the shared inbox and ERP exports.
- Assumptions
- Historic quotes are representative; pricing rules are documented and current.
- Risk
- A drafted quote is sent without review — mitigated by a mandatory approval step.
- Responsible owner
- Commercial manager (named in the register).
- Expected outcome
- Quote turnaround modelled at 14h; measured against the same timestamps after go-live.
Harness — weak proposals do not progress
- Evidence linkedPASSED
- Required information completePASSED
- Data availability confirmedPASSED
- Assumptions declaredPASSED
- Risks identifiedPASSED
- Responsible owner assignedPASSED
- Acceptance criteria definedPASSED
- Human review completedNEEDS HUMAN REVIEW
AWAITING CONSULTANT APPROVAL
Harness runs are versioned and deterministic. A model cannot approve its own output; the final disposition always belongs to a person.
Loops — expected value is compared with reality
- 01Appraisal looppains and readiness captured
- 02Verification loopproposals checked and gated
- 03Delivery loopscoped work signed off
- 04Outcome loopexpected vs measured compared
- 05Improvement loopthe next cycle starts informed
These are governed feedback loops with a person at every gate — not autonomous, self-modifying agents.
THE CONSULTANT DASHBOARD
Watch a scenario run — until a person is required.
OPPORTUNITY PORTFOLIO — RANKED
- Automated quotation drafting0
- Inspection report extraction0
- Weld-map digitisation0
ROADMAP
COMMERCIAL — MODELLED SCENARIO, NOT A GUARANTEE
— COST BASE · ─ MODELLED BENEFIT · MONTHS 0–24
WHAT YOU RECEIVE
Documents you can hold us to.
AI-readiness summary
Where your systems, data and people genuinely stand.
Ranked opportunity portfolio
Every candidate scored, with the reasoning attached.
Evidence and assumptions register
What each recommendation rests on, stated plainly.
Risk and control register
What could go wrong and what is in place for it.
Costed implementation roadmap
Fees, licences, usage and cloud itemised separately.
Supplier and delivery plan
Who builds what, under which written agreement.
Human decision record
Who approved each step, when, and on what basis.
Outcome dashboard
Expected versus measured results, side by side.
Exportable report
Everything above, in a document your board can read.
PRICING
Start free. Pay for verified answers. Scale under contract.
Professional fees, supplier fees, model and token usage, cloud costs and VAT are always itemised separately. No guarantee of revenue, productivity or compliance outcomes is given or implied.
Free AI appraisal
£0
A short, no-obligation appraisal. No confidential files required.
Verified AI Roadmap
£0
Fixed fee. Ranked opportunities, risks, costs and ROI scenarios, reviewed before issue.
Onboarding & implementation
Scoped
Priced to your requirements, delivered under a written agreement.
Managed AI service
from £0/mo
Operated, reported and reviewed. Licences and usage billed separately.
FIGURES EXCLUSIVE OF VAT · NO GUARANTEED ROI CLAIMS
See the full pricing page →SECURITY & RESPONSIBLE AI
AI proposes. Evidence verifies. Your responsible people decide.
We do not present prototypes as transformation, or projections as realised savings. Readiness controls help produce and retain evidence; they do not by themselves make a business compliant.
Read the security and compliance detail →Discover where AI can create defensible value in your business.
A qualified enquiry and a booked review call. No account and no confidential files required to get started.
Synthetic demonstration: the appraisal is not a live enquiry channel and nothing you submit reaches a real inbox or database.
SOCIAL VALUE
What responsible adoption returns to a business.
Figures below describe one 12-month modelled scenario for Fenwick Precision Ltd, a fictional engineering SME. They are illustrations of how outcomes are measured — not measured customer outcomes.
Hours returned to employees over 12 months
MODELLED — FENWICK SCENARIO (FICTIONAL)
How this was calculated
Modelled as 2 automated workflows saving a combined 5.2 engineer-hours per working day across 238 working days. Assumes current enquiry volumes hold.
Training opportunities created
MODELLED — FENWICK SCENARIO (FICTIONAL)
How this was calculated
Modelled as 3 structured sessions per delivered workflow plus quarterly refreshers for a 12-person team over the first year.
Repetitive work reduced in targeted roles
MODELLED — FENWICK SCENARIO (FICTIONAL)
How this was calculated
Modelled share of retyping and re-keying time in the two targeted roles, from the time-and-motion baseline in the fictional appraisal.
New internal capabilities established
MODELLED — FENWICK SCENARIO (FICTIONAL)
How this was calculated
Counted capabilities in the fictional roadmap: prompt review, evidence capture, supplier management, outcome measurement, data handling, approval workflow.
Local suppliers engaged across delivery
MODELLED — FENWICK SCENARIO (FICTIONAL)
How this was calculated
Modelled supplier plan across both workflows: regional integrators, trainers and hosting partners named in the fictional delivery plan.
Human-approval coverage before work progresses
BY DESIGN — HOW THE SERVICE OPERATES
How this works
A review gate sits before every stage transition; the harness records the reviewer, time and disposition. This is a property of the workflow, not a performance statistic.