Stable and explainable
Business rules
Use a rule when known inputs should produce one consistent, explainable decision.
- Best for
- Validation, routing, calculations and fixed decisions
- Management focus
- Rule ownership, exceptions and change history
Technology and AI
Technology and AI that earns its place
Advery helps leaders form an AI strategy and roadmap, improve systems and data, and implement practical changes with their teams. We measure adoption, operating results and value against cost.
Choose the right pattern
Technology should earn its place.
Select a pattern to compare where it fits and what management must keep visible.
Predictable sequence
Workflow automation
Use automation when work follows a known sequence across systems, people and approvals.
- Best for
- Handoffs, reminders, approvals and system updates
- Management focus
- Ownership, ageing, failures and recovery
Bounded judgement
AI-assisted work
Use assistance when variable information needs interpretation before a person accepts the result.
- Best for
- Document review, triage, drafting and decision support
- Management focus
- Quality tests, approved data and human review
Variable planning
AI agents
Use an agent only when the system must adapt across variable steps using approved tools inside explicit limits.
- Best for
- Multi-step work with changing context and tool use
- Management focus
- Permissions, observability, intervention and shutdown
Before scale
Five conditions management should be able to see.
- 01Value
The business result and baseline are explicit.
- 02Data
Approved sources and sensitivities are known.
- 03Ownership
Business, technical and human decision owners are named.
- 04Safeguards
Exceptions, recovery and shutdown are defined.
- 05Evaluation
Quality, value, cost and risk have acceptance tests.
First practical test
Prove one bounded decision before expanding the system.
Use representative cases, include failure and recovery scenarios, and agree what must be true for management to stop, improve or scale.
Strategy through to delivery
The operating environment matters as much as the technology.
Technology oversight
Roadmaps, investment choices, security, governance and provider performance, translated into decisions executives and boards can act on.
Systems and data
Workplace platforms, CRM, finance systems, CMS and data platforms: review what exists, resolve ownership and plan integration or migration around the work.
AI in everyday use
Workflow design, approved data, team training, human review and support. A pilot is useful only when people can rely on it in the real process.
Value after implementation
Compare the baseline with adoption, quality, rework and running cost. Establish whether released capacity is actually used and whether the business result improves.