Management reporting
Turn KPI or management-pack data into a first-draft narrative, with sources, exceptions and human review.
Useful AI, not theatre
Most business AI is theatre.
I’m James Morris. I help finance, commercial and operations teams turn manually stitched workflows and scattered AI experiments into useful, governed systems. No magic. No innovation theatre. Just evidence, delivery and human control.
Judgement on what to buildPeople
The AI doing the workAgents
Shared, maintained knowledgeContextusually missing
Confidence and trustGovernanceusually missing
Context and governance are usually missing.
Built for Finance Directors, Heads of Operations and commercial leaders whose recurring work is still being stitched together across spreadsheets, email, business systems and disconnected AI tools.
The problem
Busy with AI.
Not better because of it.
- Building more dashboards that nobody looks at.
- Pilots that never become production work.
- AI prompts scattered across teams with no shared context.
- Unchecked output that nobody can explain when it matters.
Workflow examples
Examples of useful AI workflows.
Every business is different, but useful candidates often share a pattern: recurring work, repeated decisions, scattered context and a clear human owner.
Reconciliation and exceptions
Compare invoice, purchase-order or operational data, surface mismatches and assemble the evidence a person needs to decide.
Overdue-invoice follow-up
Prepare appropriate follow-ups using approved tone and escalation rules, with human approval before anything is sent.
Renewals and compliance
Monitor dates, evidence and ownership, escalate gaps and retain an audit trail.
Decisions into context
Turn approved meeting notes into structured CRM or shared-context updates and next actions, reviewed before write-back.
Some problems need AI, some need automation, and some need a process change. The AI Reality Check determines which—before anything is built.
Bring one workflow to a free fit callThe model
Four essential layers for AI success.
Most organisations have people and tools. The missing parts are the maintained context the AI can use, and the governance that makes the work safe enough to rely on.
Judgement on what to build
People
The humans own the bookends: what is worth doing, what good looks like, and whether the output can be trusted.
The AI doing the work
Agents
AI agents are set up like capable new hires: clear goals, tools, skills, knowledge, boundaries and feedback.
Shared, maintained knowledge
Context
The maintained brain your agents read from and write back to: process, standards, examples, decisions and evidence.
Confidence and trust
Governance
Tests, human gates, audit trails and a definition of good. The reason AI can touch real work.
Services
Diagnose.
Build.
Train.
Start small enough to prove value, serious enough to change the work.
01 · Diagnose
AI Reality Check
£1,950 fixed
A focused review of one function or workflow. You get evidence, a four-layer scorecard, an opportunity map and a prioritised build order.
02 · Build
Governed Workflow Sprint
From £9,000
Design and implement one useful workflow with maintained context, human approval gates, real-data testing, logs, documentation and handover.
03 · Train
Team Enablement
£900 half-day
£1,600 full-day
Practical, tailored training around your real workflows so the team can use, test and improve AI without losing standards or control.
Founding price5 founding places
Founding customer offer
First five customers get the full Reality Check at the founding price.
Pay £1,250 instead of £1,950. Two weeks, one real workflow, a scorecard, opportunity map and a clear build, stop or train decision.
A signed scope and 50% deposit reserves a place. One place per business. No artificial countdown.
Proof
I don’t just talk about AI. I run my business on it.
My own AI systems use human judgement, AI agents, shared knowledge bases, quality gates and explicit review. The proof is not a slide. It is the way the work gets done.
See the proofVisible delivery proof
Site Revamp
A multi-agent operating system for researching businesses, producing website concepts, QA checking work, and preparing human-approved delivery batches.
Governed decision system
Value Bet Edge
A data-to-decision workflow with models, evidence, rules, automation, human gates and review.
Useful tool proof
Design Your Prompt
A practical product that turns messy intent into structured prompting help. Small, concrete, shipped.
Credibility
30 years of systems judgement.
From operational systems and fraud prevention to enterprise data warehouses, analytics leadership and Claude-based BI workflows, I have spent my career turning complicated business problems into systems people can use and trust.
Enterprise systems judgement, applied to one small or mid-sized business workflow at a time.
About James- 20+
- Fraud-prevention solution projects led
- Enterprise BI
- Data warehouse, reporting and analytics leadership
- Applied enterprise AI
- Reusable Claude workflows connected to enterprise data and BI delivery
Recognition
- Contribution to application-fraud work recognised as part of a Queen's Award for Innovation (2006)
- Big Data and IoT Excellence Award 2017 — Outstanding Data Management Solution
- Computing Big Data & IoT Awards 2017 — IT Team of the Year
Next step
Want to get your AI working for you?
Start with a free 30-minute AI Fit Call. If there is a fit, the paid AI Reality Check is the two-week engagement that provides the structured assessment and next-step decision.