All use cases
Public tendersReference scenario
Get the public tenders that truly match you every morning
An agent reads new notices, compares them with your criteria (trade, area, value, references) and sends you a digest with a reasoned go / no-go.
Company bidding on public contracts
Context
Tender platforms send keyword alerts: dozens of notices a week, most of them off-topic. Someone has to read them all to find the two or three that matter.
Before
- Keyword alerts full of false positives
- An hour a day sorting notices
- Relevant tenders spotted too late
With the agent
- A daily digest of relevant tenders only
- A score and rationale for each tender
- Shortlisted files already downloaded and filed
The system
Triggers
New notices published
Your criteria and references
AI agent
- Collects new notices
- Drops those outside your area, trade or value
- Scores each tender on your chances
- Writes a go / no-go recommendation
You approve
You decide
One click to shortlist a tender and start preparing the bid.
Actions
Morning digest
Tender pipeline up to date
Files organised
Target gains
Typical goals for this kind of system, to be confirmed during the audit.
- to review the day's notices
- 5 min
- to review the day's notices
- of notices read, not just keywords
- 100%
- of notices read, not just keywords
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