Reliable automation for complex, multi-step work.
We engineer Agentic AI systems that perform real tasks — calling tools, coordinating steps, and executing workflows with governed autonomy. Built for organisations that need automated action, not uncontrolled agents.
Agents perform work — not reasoning, not conversation. Actual work.
Agentic AI is about execution, not general intelligence. These systems break down tasks, select actions, call tools, pull information, and complete workflows. Unlike GenAI (which reasons) or Conversational AI (which interacts), Agentic AI does things.
We engineer agents to:
- follow multi-step workflows
- call APIs and internal tools
- orchestrate domain-specific actions
- resolve dependencies
- escalate when uncertainty is high
- maintain detailed audit trails
We avoid "free-roaming autonomy."
Every agent operates inside a defined, governed action space.
Where Agentic AI Adds Enterprise Value
Multi-step operational workflows
Case handling, investigations, onboarding, triage, data consolidation, exception handling.
Automated tool-use & API orchestration
Agents call internal services, query systems, enrich data, update records, or launch downstream processes.
Decision preparation & execution sequencing
Prepare structured evidence; run checks, validations, and compliance steps; route to humans when necessary.
Fraud & risk event follow-up
Fetch signals, perform checks, create cases, escalate anomalies, and prepare risk narratives.
Enterprise data gathering & transformation
Automate the collection of cross-system information for reporting, analytics, or regulatory needs.
Complex scenario simulation & testing
Run multi-agent simulations for workflows, operational stress-testing, or procedural failure paths.
Governed automation engineered for reliability.
Task Decomposition & Boundaries
We define the permissible action space: tools, functions, services, and data.
Agents cannot act outside designed boundaries.
Orchestration Architecture
We design or extend:
- agent coordinators
- tool registries
- task routers
- MCP-based servers
- role-specialised agent groups
- escalation pathways
Safety & Explainability Controls
Every agent action is:
- logged
- justified
- validated
- reversible
- auditable
Runtime Governance
Controls include:
- human-in-the-loop decision gates
- rule-based overrides
- fallback procedures
- operational rate limits
- security and context filters
Observability & Drift Monitoring
We expose dashboards for:
- agent behaviour patterns
- tool usage
- failure cases
- latency
- cost
- escalations
- drift across datasets or logic
Agentic AI System Patterns
Tool-Calling Agents
Agents that interact with APIs, microservices, backend functions, or internal tools — using deterministic validation on every output.
Multi-Agent Collaborators
Distributed agents with specialised roles: analysis agent → extraction agent → action agent → reviewer agent.
Action Governance Loop
A guardrail system that verifies tasks, checks business rules, enforces constraints, and escalates anomalies before proceeding.
Unique Outcomes
Distinct from GenAI and Conversational AI
Automated execution
Agents complete tasks — not just interpret or communicate.
Lower operational load
Routine or multi-system tasks shrink from hours to minutes.
Transparent, auditable behaviour
Every action has logs, reasoning, and system context attached.
Consistent workflow quality
Agents do not lose focus, miss steps, or introduce subjective variance.
GenAI vs Agentic AI vs Conversational AI
| Capability | GenAI (Reasoning) | Agentic AI (Execution) | Conversational AI (Interaction) |
|---|---|---|---|
| Core Function | Interpret, classify, summarise | Perform tasks & call tools | Communicate & guide |
| Output | Structured data | Completed actions | Responses, clarifications |
| Best For | Understanding | Doing | Supporting users |
| Failure Impact | Misinterpretation | Operational error | User confusion |
| Requires | Reasoning integrity | Strong governance | Dialogue consistency |
Agentic AI is the execution engine of your AI stack.
Case Studies Relevant to Agentic AI
App Fraud Detection Multi-Agent System
Multi-agent orchestration for real-time fraud detection and prevention.
Economic Crime Prevention Orchestration Layer
Automated workflow coordination across compliance and risk systems.
Screening Modernisation
Agent-driven screening processes with governance and audit trails.