AI tools access with guardrails
Grounded agents, copilots and automation set up with permissions, logging and evaluation, so teams get leverage without shadow IT pasting API keys into random browser extensions.
Free call. If we are not the right fit, we will say so.
How we set AI up
Copilots with guardrails your security team can sign
Agents
Task agents with tool access
Agents can read tickets, documents and CRM within policy. No blanket data dumps.
- Tool allowlists per role
- Step-level logs
- Escalation when confidence is low
Copilots
Drafting and summarization in context
Inline copilots for updates, client comms and post-mortems work from the same milestones clients see.
- Tone presets per brand
- Citation to source assets
- Sensitive fields redacted
Evaluation
Regression tests before you promote
Golden sets and human rubrics gate changes to prompts and models. We treat AI like software releases.
- Side-by-side evaluation runs
- Model version pinning
- Fast rollback
Access control
Who can invoke what, on which data
Fine-grained scopes map to your organisation structure.
- Model allowlist per team
- PII masking pipelines
- Usage quotas and cost visibility
What changes
What it replaces
Support leaders fear hallucinated replies
becomes: Draft-in-review mode with a mandatory human send for external comms
Engineers paste keys into ChatGPT
becomes: Approved routes with spend and audit visibility
Every AI pilot uses different metrics
becomes: One standard evaluation view for containment, quality and escalation
Legal asks "what did the model see?"
becomes: Retrieval logs and document scopes exportable for review
Our view
Production AI needs ops, not just prompts
Teams ship when evaluation, access and rollback are as solid as the demo. That discipline is what we set up.
Before you start
Questions teams ask before starting
Which models do you work with?
The major hosted APIs, and open-weight models in your own cloud for strict programs.
How do you prevent data leakage between clients?
Each client's data and retrieval indexes are kept separate and are never shared.
Can we bring our own vector store?
Yes. We set retrieval up against your approved stores and access policies.
Put the next stage on autopilot
Book 30 minutes. Leave knowing what turns on first.
Tell us what runs today and what breaks. We do the rest of the thinking on the call.
your AI rollout
Pick your time
What happens on the call
- You tell us what runs today and what breaks
- We point at the manual glue worth removing
- You leave knowing what turns on first
- Free
- 30 minutes
- Not the right fit? We will say so
“I sleep better anyway.”
“No hero deploys. No mystery config.”
“Quiet handoffs. No fog about who owns what.”