Signals are organised against the supplier context.
AI & human review
AI-assisted, human-reviewed.
Eshmere uses AI support to organise tender information, draft structured analysis and surface risks while keeping customer-facing outputs under human review.
Trust modelClear boundaries, useful confidence
Fit, risk, timing and evidence gaps are easier to inspect.
Higher-risk service outputs stay under human review.
Customer-facing work is checked before use.
Final claims and submission decisions stay with the customer.
Trust topics
Move through the Trust Centre.
Each topic explains one part of Eshmere's public data, review, responsibility and provider boundary model.
Purposeful data
Data protection
How Eshmere limits, handles and reviews account, opportunity and service information.
Review controlsAI & human review
Where AI may assist, where human review remains required and what is never automatic.
Clear ownershipService responsibility
How Eshmere supports tender decisions while customers keep final approval and submission responsibility.
Separated surfacesSecurity & boundaries
How public pages, customer workspaces, internal operations and provider setup stay separated.
Controlled providersService providers
How provider categories support the service while private credentials and setup details stay out of public pages.
Controls in plain English
How this boundary works.
Where AI may assist
AI support can help organise information and prepare review-ready structure.
- Opportunity triage
- Tender summary support
- Evidence gap organisation
- Draft structure
- Internal review preparation
Where human review remains required
Higher-risk conclusions and customer-facing outputs need people in the loop.
- Bid or no-bid recommendations
- Readiness conclusions
- Client-facing reports
- High-risk service outputs
- Final delivery approval
What is not live by default
Eshmere does not treat AI assistance as an automatic customer-facing decision-maker.
- Customer-facing AI chat
- Automatic bid submission
- Unreviewed service outputs
Reference route
Where to go next.
Next step
Use AI assistance with review where it matters.
Explore the platform and solution paths to see how monitored opportunities can move into reviewed support.