Read and organise documents
Extract information from supported bid documents and link values to their source document and page.
Extracted values remain reviewable and correctable.
AI assistance, with accountability
Let AI do more of the preparation. Keep people in charge of decisions.
Tenderabl brings AI assistance for drafting, bid review and source-backed answers into procurement workflows. Review the evidence, correct the output and apply the approvals your process requires.
AI assistance for tendering
Drafting, bid review and source-backed answers.
Practical assistance within the workflow, with a clear review responsibility for every kind of output.
Draft procurement content
Prepare working drafts of tender sections, notes, clarifications and summaries from relevant inputs.
AI text needs review before it becomes approved content.
Support evaluation
Map evidence to criteria and identify potential gaps or deviations for review.
Authorised evaluators decide qualification and compliance conclusions.
Assist comparison and negotiation
Summarise commercial differences and prepare supporting notes from approved data.
Calculations follow approved rules; negotiation and award follow the authorised process.
Answer procurement questions
Retrieve authorised status, policy and record references in the selected role or case context.
Your existing access and action permissions apply to the assistant too.
Evidence, assistance and judgement
From source document to accountable decision.
Keep the original evidence, AI assistance and reviewer conclusion distinguishable. A generated answer is an input to the process, not an approval to proceed.
- 01
Source
Open the submitted document and relevant reference.
- 02
AI assistance
Review the extracted fact, draft or criterion finding.
- 03
Human review
Accept, correct or return the output, recording the required reason.
- 04
Authorised action
Follow the applicable review and approval route.
Try a criterion-level review.
Open the same illustrative tender used across the site. Choose a bidder, inspect the sample source and read an example reviewer note.
Sample criterion Submit one completion certificate for comparable maintenance work.
Choose a bidder to explore the finding and evidence.
BidderAI-assisted finding
AI assists. The authorised evaluator decides.
Evidence & review
Awaiting reviewer decisionBidder B
AI-assisted findingClarification Required
The certificate confirms completion, but the submitted excerpt does not identify the maintenance scope.
Sample source
Completion certificate — Sample.pdf, page 7
Synthetic excerpt
“The assigned maintenance work was completed on 18 May 2025.”
This excerpt is invented for the illustration.
Illustrative reviewer note
“Request a clarification identifying the maintenance scope covered by the certificate, subject to the approved clarification process.”
Example only. No decision saved or clarification sent.Illustrative workflow using synthetic data. No live tender records or actions.
Bidder B selected. Clarification Required. Awaiting reviewer decision.Where an action follows, its recorded outcome matters too. Preparing a clarification does not issue it; issuing it does not resolve the evidence query.
Human control built in
Approvals, audit trails, transparency.
Keep evidence, calculation rules and decision authority visible throughout the work.
Evidence references
Follow an extracted value or evaluation finding back to its supporting document.
Clarification and correction
Keep shortfalls and reviewer corrections visible instead of treating an unsupported answer as settled.
Commercial calculation rules
Defined rules govern commercial calculations, using reviewed inputs and approved calculation methods.
Authorised decisions
Preserve the required reviewer, committee and approval responsibilities.
Access boundaries
Apply record permissions and confidentiality controls to workspaces, search and AI-assisted work as well as ordinary screens.
Action boundaries
Use supported actions through the authorised process. Keep preparation, review, execution and confirmation distinguishable.
Review, measure, improve
Measure AI output quality, not just activity.
Tenderabl’s AI Accuracy Measurement Tool links assessed outputs to their source references and reviewer feedback. Review accepted, corrected and rejected outputs, examine errors by task category and keep the measurement record available for authorised review.
Critical errors need attention even when an overall score looks acceptable. Quality measurement supports review and improvement; it does not remove the need for human judgement.
Every assessed outputSource reference + reviewer feedback
Accepted
Retain the reviewed output and its evidence.
Corrected
Record the change and reviewer feedback.
Rejected
Keep the issue visible for quality review.
AI and data handling
Agree the boundaries before processing procurement data.
Review the AI-processing design with your IT and security teams, including the information permitted for each task, access controls, model-provider arrangements, retention and the records available for review.
Request a walkthrough
See AI assistance in a procurement workflow.
Discuss the document types, review steps and approval boundaries that matter to your organisation.