Operating model
Available on request
The AI Workforce Operating Model
How enterprises structure ownership, controls and economics when agents do the work.
- · Roles and accountability
- · Funding and chargeback
- · Control framework
Resources · White Papers
Frameworks for leaders planning an AI workforce.
Longer-form guidance on operating models, governance, economics and security. Request any paper by email; we reply with the paper, or its expected availability if it is still being finalised.
Governance
Available on request
Human-in-the-Loop Controls for Enterprise Agents
A practical framework for approvals, escalation thresholds and audit trails.
- · Approval design patterns
- · Escalation thresholds
- · Audit evidence
Economics
Available on request
Measuring the ROI of AI Agents
Which metrics matter — cost per transaction, turnaround, accuracy — and how to baseline them.
- · Baselining
- · Unit economics
- · Reporting cadence
Document Intelligence
Available on request
A Buyer's Guide to Document Intelligence
How to evaluate extraction accuracy, validation and exception handling beyond the demo.
- · Evaluation datasets
- · Validation patterns
- · Exception workflows
Security
Available on request
Securing Enterprise AI Agents
Least privilege, isolation, prompt-injection defences and monitoring for production agents.
- · Threat model
- · Access design
- · Monitoring
Delivery
Available on request
From Pilot to Production
Why AI pilots stall and the five conditions that get agents doing real work.
- · Common failure modes
- · Production readiness
- · Operating after go-live
Want a briefing instead?
We can walk your leadership team through any of these frameworks in a 45-minute session.