01
Task agents
Complete well-defined multi-step business tasks.
Well-defined multi-step business tasks are completed end-to-end, within clearly scoped boundaries.
- Task decomposition
- Multi-step execution
- Scope boundaries
AGENT: EXECUTING
Agentic systems
Agents that act with boundaries.
We design AI agents to use tools, coordinate steps and escalate decisions inside an explicit operating model.
What this means
Autonomy should increase only as evidence earns it.
An enterprise agent needs more than reasoning. It needs scoped permissions, durable state, recoverable execution, approval gates and visibility into what happened.
02
Tool use
Call approved systems through constrained interfaces.
Approved systems are called through constrained interfaces, so agents act only within permitted limits.
- Constrained tool interfaces
- Permission scoping
- Action logging
TOOLS: 5 CONNECTED
03
Multi-agent patterns
Separate specialist roles where coordination adds value.
Specialist roles are separated where coordination adds real value, avoiding unnecessary complexity elsewhere.
- Role specialisation
- Coordination protocol
- Complexity scoping
AGENTS: COORDINATING
04
Approval gates
Pause consequential actions for authorised review.
Consequential actions pause for authorised review, keeping a human in the loop where it matters most.
- Consequential-action detection
- Authorised review gates
- Audit trail
GATES: ENFORCED
05
Durable workflows
Recover from timeouts, failures and long-running processes.
Timeouts, failures and long-running processes are recovered from gracefully, not silently dropped.
- Failure recovery
- State persistence
- Long-running process handling
WORKFLOW: RESILIENT
06
Agent evaluation
Measure task success, cost, latency and intervention.
Task success, cost, latency and intervention rate are measured, so agent performance is accountable.
- Task success metrics
- Cost & latency tracking
- Intervention rate analysis
EVAL: SCORING
Begin with the action boundary
We define what the agent may read, propose, change or send—and which actions always require a person. Those boundaries drive the architecture.
Make every step observable
Tool calls, intermediate state, approvals and errors should be traceable. Operators need to understand why an agent stopped or acted.
Design the fallback first
A production agent must know when it lacks context, when a tool failed and when to route the task to a human without losing the work already completed.
The goal is not maximum autonomy. It is the right autonomy for the risk, evidence and operating context.
How we work
Clarity from first decision to production.
Discover
Define outcomes, users, constraints and the existing technical landscape.
Architect
Choose practical boundaries, integrations, delivery stages and quality gates.
Engineer
Build in transparent increments with testing and security embedded.
Operate
Release, observe, support and improve with clear ownership.
Build with Genesis
Turn the next important idea into a dependable system.
Bring us the outcome, the complexity and the constraints. We will help you shape the right path forward.