Adopt Orchestrate Govern Scale AI with cognipeer
Your AI Operating Suite
A complete suite for every stage of AI agent delivery: build, integrate, automate, run, govern, and observe.
Start simple.
Scale safely.
Use cognipeer Studio day one.
Add governance as you scale.
Create AI agents effortlessly
Define agent behaviour and tone in minutes.
Choose the right LLM model
Pick the LLM model you prefer for quality, speed, or cost.
Connect knowledge sources
Use your internal docs so answers stay grounded.
Add your tools
and actions
Let AI agents search, update records, and complete tasks.
Build workflows around AI agents
Turn single conversations into repeatable processes.
Test and improve before rollout
Try real AI scenarios, refine, and publish changes safely.
When you need more control
For governance and scale
cognipeer Studio is one part of the suite. For greater control and governance, you can explore Console, Agent SDK, Agent Server, Chat UI and the rest as needed.
All the pieces,
one AI operating suite
Build
Design agentic workflows that reflect how your teams actually work, connect the right knowledge and tools, and test outcomes before rollout.
- Visual workflow design and approvals
- Knowledge-grounded responses, not guesswork
- Safe testing and iteration
Build
Design agentic workflows that reflect how your teams actually work, connect the right knowledge and tools, and test outcomes before rollout.
- Visual workflow design and approvals
- Knowledge-grounded responses, not guesswork
- Safe testing and iteration
Operate
Deploy agentic AI into real workflows where work happens, so it can respond, take action, and support your teams across channels.
- Deploy into chat, apps, and existing tools
- Actions that update systems, not just answers
- Consistent experiences for users
Govern & Operate
Scale agentic AI across teams with clear rules, visibility, and continuous improvement, so adoption stays safe and measurable.
- Policies, access controls, and usage limits
- Monitoring, traceability, and audit readiness
- Performance and cost oversight
Operating models will be unrecognisable in 2 years due to AI agents.
- PwC
Organisations are already experimenting with AI agents.
- McKinsey
Organisations expected to orchestrate AI agents at scale by 2030
- IDC
AI outcomes
leaders can measure
Adopt AI without losing control. Move from pilots to production with clear control, visible performance, and a shared approach across teams.
Move AI from pilots to production
- Faster rollout
- Reusable patterns
- Less rework
Put guardrails around AI, without slowing delivery
- Policies and limits
- Clear ownership
- Audit readiness
Make AI performance visible and accountable
- Usage and quality signals
- Continuous improvement
- Cost oversight
One AI foundation across the organisation
- Shared operating model
- Easier scale
- Less fragmentation
AI Orchestration
Trusted by real teams
