LIVE
Land, integrate, verify, evolve. The system we use to take AI from a pilot deck into an operation you can leave running, and the reason our clients stop buying projects and start buying outcomes.
Land · understand and measure
- Existing requirements reviewed
- Baseline agreed within the project
- Focused technical scoping
- Instrumented Value Discovery where justified
Quoted before we start
Integrate
- Entitlement-aware access
- Context layer · MCP
- Lineage & permissions
- Instrumentation
Fixed-scope phases
Verify
- Redesigned workflow
- Model / agent layer
- Tools & deterministic steps
- Human review points
Outcome-linked where evidenced
Evolve
- Evaluation harness
- Drift & judge-drift watch
- Cost & incident control
- Quarterly improvement
Optional, retainer plus usage
Feedback loop: Evolve returns to Land
What you get at each stage
| Stage | What we do | What you get | Commercial |
|---|---|---|---|
| Land | Establish the requirement, the evidence available and what success should look like — proportionate to the project | An agreed baseline and definition of success; where justified, a measured current state, opportunity map, costed roadmap and business case | Quoted before we start |
| Integrate | Make the data reachable, permissioned and observable | Integration architecture, entitlement model, context layer, evaluation harness | Fixed-scope phases |
| Verify | Build the system, redesign the workflow around it, prove it against thresholds | The production system, evaluation suite, escalation design, runbook | Outcome-linked where the baseline supports it |
| Evolve | Run it, watch it, cost it, improve it | Monthly operating report with the delta, quarterly improvement release, annual model review | Optional, retainer plus usage |
Generic productivity pilots almost never reach production
Of 979 generative and agentic use cases analysed in 2026, generic productivity cases ran 54% in proof of concept against 19% in production. Narrow process-performance cases ran 8% in proof of concept against 27% in production, the healthiest ratio in the dataset.
LIVE is built around that finding. We will not start an engagement without a named process and a number attached to it, because the evidence says the ones that start vaguely do not finish.
HFS Research, May 2026, n=979 use cases
Questions worth answering
What does LIVE stand for?
Land, integrate, verify, evolve. Land measures the current state and produces the business case. Integrate makes the data reachable, permissioned and observable. Verify builds the system and proves it against agreed thresholds. Evolve runs it, watches it, costs it and improves it, optionally, if you want us to stay involved after delivery.
Why does LIVE establish a baseline before building?
Because for outcome-linked work you cannot price an outcome nobody has counted: measurable performance must be established before outcome commitments are made. Of 979 generative and agentic use cases analysed in 2026, generic productivity cases ran 54% in proof of concept against 19% in production, while narrow process-performance cases ran 8% in proof of concept against 27% in production, the healthiest ratio in the dataset (HFS Research, May 2026). The level of investigation is proportionate: LAND can draw on your existing requirements, a baseline agreed within the project, focused technical scoping, or a separately commissioned instrumented Value Discovery where justified. Engagements that start vaguely do not finish.
Start with a conversation
Every LIVE engagement establishes what success should look like before anything is built. Where work is outcome-linked, a measured baseline comes first, because you cannot price an outcome you have never counted.