AI that knows your business
and can act on it.
AI copilots answer from your documents, systems, and knowledge. AI agents go further — they take approved actions across your tools, with every step logged and governed by your rules.
Signs you
need one.
Scattered knowledge
Across docs, wikis, drives, and tickets — hard to find.
Slow drafting
Emails, reports, SOPs written from scratch every time.
Repeated questions
The same ones get asked and answered over and over.
Repetitive multi-step tasks
Look up, decide, update, notify — hours each week.
You need control
Answers you can trust, actions you can audit, access you can limit.
Two levels of help.
Answers questions, drafts content, and summarises information from your knowledge base.
Takes actions through your tools, with approvals and logging.
What we deliver.
Knowledge ingestion: your documents, wikis, and systems, chunked and indexed
Tool integrations: the actions the agent can take, wired to your systems
Evaluations: tests that prove accuracy, grounding, and safe refusal
Retrieval with citations: answers grounded in your sources, not made up
Guardrails: permissions, policy filters, and prompt-injection defence
Deployment, monitoring, and documentation for your team
How a copilot answers
& an agent acts.
Control and safety by design.
Permission-aware retrieval
Users only see what they're allowed to.
Grounding & citations
Answers cite their sources; 'I don't know' beats a guess.
Policy filters
Block prohibited content or actions.
Action approvals
A human signs off on anything that matters.
Full audit logging
Every answer and action is traceable.
Works it looks
like in practice.
Examples — we scope real workflows to your operations during discovery.
Policy question→retrieve the right documents→answer with references→suggest the next step
Draft an email→follow your template and voice→send to an approval queue
Create a ticket→confirm details→log the action→notify the owner
Research request→gather from multiple sources→summarise with citations
Connects to your knowledge
and tools.
Why our agents are safe to trust.
We build products with these techniques
MailOps drafts and acts on email with the same discipline.
Senior-led
Experienced engineers, start to finish.
Evaluation-first
Nothing ships without tests that prove it works.
Secure by default
Permissions, audit logs, and ISO 27001 practices.
From discovery to
production.
Discovery & Assessment
Use-cases, knowledge sources, guardrail rules, success metrics.
Build & Validate
Build, integrate, and test against evaluations.
Deploy & Harden
Production hardening, monitoring, handover.
Operate & Optimise
Tuning and new capabilities.
AI Agents & Copilots
FAQ's.
Anything else? Write to us directly.
A copilot answers questions and drafts content from your knowledge. An agent goes further and takes actions through your tools, with human approval for anything sensitive and a full audit log.
We ground answers in your own sources with retrieval and citations, use confidence scoring, and design the system to say "I don't know" rather than guess.
Yes. We recommend piloting with a single team or use-case, then expanding once it's proven.
Yes, with action approvals, permission checks, rate limits, logging, and rollback for sensitive operations.
Yes. We implement permission-aware retrieval, so users only access content they're authorised to see.
Your knowledge sources (docs, wikis, tickets), your access-permission structure, and the systems you want the agent to work with.
Put your knowledge to work.
Tell us what your team keeps looking up or repeating — we'll show you the fastest path to a copilot or agent that handles it.
support@zyqo.ai · Bengaluru, India