Tender Sniper
An autonomous agent that watches UK public procurement portals, scores opportunities against the business profile, drafts bid responses and alerts the team.
The problem
Public sector work is a real pipeline for a small firm, but the opportunities are scattered across national portals and individual council sites. Someone has to check them daily, read past the irrelevant ones and spot the few worth bidding for. That is a job nobody has time for, and missing a good fit costs a contract.
What the agent does
It runs on a schedule rather than waiting to be asked. It sweeps the portals, filters to the categories the business actually delivers, scores each opportunity against a capability profile, and drafts a response for the strongest matches using the company knowledge base.
Where the human stays in the loop
Nothing is submitted automatically. The agent delivers scored opportunities and draft responses to the team, and a person decides what to pursue. Every outcome is recorded so the scoring gets sharper over time instead of drifting.
THE RESULT
Scored, relevant opportunities with draft responses attached, delivered to the team each day instead of a manual portal sweep.
WHAT WAS DELIVERED
- Scheduled monitoring of Contracts Finder, Find a Tender, G-Cloud and council portals
- Capability-based filtering and scoring (fit, value, location, win likelihood)
- Automatic bid drafting from an internal knowledge base
- WhatsApp and Telegram alerts with drafts saved to Drive
- Outcome tracking that feeds back into the scoring model
WHERE THIS USUALLY STARTS
One problem, fixed end to end.
Projects like this start the same way. We look at what is actually happening, find the part that costs the most time or loses the most enquiries, and build the smallest version that fixes it. You see it working within two to four weeks.
The route we would use here is AI agents. If your version of this problem looks different, the first conversation is still the same: bring the messy process and we will tell you what is worth fixing first.
Book a systems reviewMORE EVIDENCE
The next case study could be the process you keep doing by hand.
Bring us the handoff that keeps slipping. We will map it with the people doing the work and tell you what is worth fixing first.
Book a systems review