AI strategy and readiness
We map the processes and decisions where AI changes cost or speed, check the data each one needs, and rank the candidates by value and risk.
- Use-case inventory
- Data readiness review
- Prioritised roadmap
Nysara — enterprise AI consulting
AI that does real work in your business, and shows its reasoning.
We design, build and run AI systems for organisations: knowledge bases that cite their sources, agents that act inside your tools, and the evaluation and tracing that tell you what they did and why.
01Services
What we do
Knowledge systems
We turn documents, records and expert know-how into a governed knowledge base with retrieval that cites its sources.
- Domain model
- Ingestion pipeline
- Retrieval with citations
Agents and workflow automation
We build agents that carry out defined work inside your systems, with a human approval step wherever an action is hard to undo.
- Agent design
- Integration with your systems
- Approval and rollback paths
Evaluation and governance
We measure model output against test sets you agree on, trace agent workflows, and set the policies that decide what ships.
- Evaluation suite
- Action tracing
- Governance policy
02Approach
How an engagement runs
- 01
Discovery
Two to three weeks with your team to find the work worth changing and agree how success will be measured.
- 02
Pilot
One use case built on your data, evaluated against the measures agreed in discovery.
- 03
Production
The pilot hardened for real load: security review, monitoring, tracing and human approval steps.
- 04
Handover
Documentation, runbooks and training so your team owns and extends what was built.
03Platform
We build on our own platform.
The Nysara platform manages client organisations end to end: knowledge, website, social channels and the agents that work on them. Client work starts from it instead of from a blank page.
One knowledge base per organisation
Each client organisation gets its own knowledge base, domain rules and content, isolated from every other.
Traced workflows
Instrumented workflows record each agent step, model call and decision, so you can see what the system did, in what order, and on what evidence.
A person approves what is published
Agents propose website changes. A named person approves the exact version before it is published, and a release can be rolled back. Other agent output can be set to wait for approval.
05Team
The founders
portrait
Mitch Foutz
Co-founder
portrait
Nathan
Co-founder
06Contact
Tell us what you’re working on.
Leave your work email and we will get in touch, or book a call directly.