Everything an Agent Needs,
Already Built In
One governed layer beneath every agent, knowledge, memory, policy, evaluation, lifecycle and observability. Nothing separate to license, integrate or keep in sync.
One Layer, Not Six Tools
Most teams assemble an agent stack from a framework, a vector store, an eval tool, a monitoring tool and a governance layer, then keep all five in sync forever. AIQoD ships them as one.
Governed agent execution
Agents execute complex business processes, with human approval gates wherever you need them.
Enterprise integrations
Connect to systems of record, data sources and cloud platforms through one governed connection layer.
Decision intelligence
Decision engines that adapt as conditions change, with the reasoning captured on every call.
The Enterprise Intelligence Layer
Read it from the bottom. Your systems exist. Your context is not yet assembled. Everything above is what turns one into the other.
Understand, decide, act, observe, learn, continuously, with humans on exceptions
Data, Knowledge & Memory
Knowledge graph, twin registry, vector stores
Security & AI Foundation
PII masking, injection firewall, model-agnostic routing
Operational Brain
Prompt chaining, model router, confidence scoring
Evaluation & Validation
Automated evals, LLM-as-judge, sandbox testing
Workflows & Vibe Coding
No-code builder, connectors, document processing, voice
AgentOps & Lifecycle
Registry, versioning, rollback, impact analysis
Delivery & Experience
Dashboards, assistant, avatar, mobile, alerts
Assembled once, reused by every agent
What an Agent Needs to Make One Real Decision
A model generates language. To act inside a business, an agent has to answer seven questions no model can answer alone.
What do we know?
Knowledge Graph
Documents, policies, entities
How does work flow?
Process Graph
Real flow across systems and people
Who is responsible?
Organisation Graph
Ownership, approvals, escalation
What can it do?
Capability Graph
Skills, tools, reusable components
What are the limits?
Business Rules
Policies that must always hold
What happened before?
Decision History
Prior actions and their rationale
What is it allowed to do right now?
The Dynamic Twin
Identity, permissions, decision history, confidence to act
Confidence Ladder
Your team decides
The agent recommends, a human approves
The agent executes within your policy
Execution Mode, Set Per Agent
Freeze
Fixed code generated at build time, executed the same way every run. Predictable.
Dynamic
The goal is interpreted at runtime; the agent decides its own approach each run.
Semi-autonomous
The agent self-assesses its own method against flagged output and recommends a fix for approval.
Autonomous
The agent validates its own output and corrects its own method.
Build, Deliver and Govern
In one lifecycle.
Build & integrate
- Vibe Coding (no-code)
- Connectors
- IDP
- Multi-modal & voice
- Dev lifecycle
Deliver & experience
- Dashboards
- Virtual assistant
- AI avatar
- Mobile-first
- Alerts & notifications
Control & govern
- Versioning
- Dependency tracking
- Impact analysis
- Automated testing/evaluation
- Controlled reversible deployment
- Observability
Security, Audit and Compliance Alignment
The same controls wherever the platform runs.
Security
- ·Role-scoped access per agent
- ·PII detection and masking
- ·Injection and jailbreak defence
- ·Secrets and key rotation
- ·Tenant and data isolation
Audit and evidence
- ·Immutable log of every action
- ·Reasoning and approver captured on every decision
- ·Policy version recorded at runtime
- ·Exportable packs for auditors
- ·Retention on your policy
Compliance alignment
- ·EU AI Act deployer obligations
- ·ISO/IEC 42001 practices
- ·SOC 2 control expectations
- ·BFSI, pharma and public sector rules
Alignment describes how the platform supports your obligations. Certification status is confirmed in writing during procurement.
Deployed Where Your Data Has to Live
Nothing is traded away for residency. The same platform and the same controls in every environment.
Public cloud
Fastest to start
Private cloud
Your tenancy
Your VPC
Your network boundary
On-premise
Your data centre
Air-gapped
No external connectivity
Model-agnostic throughout, commercial, open-weight or your own fine-tuned models, swappable without rebuilding agents.
What Happens After Deploy
Most platforms stop at deployment. Everything that decides whether an agent survives happens after it.
Control the code
Versioning across prompts, agents and workflows, dependency tracking, impact analysis before a change ships
Control the change
Testing and evaluation on every release, controlled and reversible deployment, reusable components instead of forks
Control the operation
Observability on every running agent, drift, cost and performance under watch, improvement from live signals
Versioned, tested, observable and reversible, so AI-assisted development never becomes next year's technical debt.
Every System, One Governed Connection
Agents reach your systems through the same layer, with the same permissions and the same audit trail on every call.
Integrate through APIs, events or data pipelines, with role-scoped access on every connection.
See Your First Agent Live
A working session on a process close to yours, then a scoped pilot. One process, not a programme.