Tender and PQQ responses
First drafts assembled from your own library of previous submissions, policies and project evidence, matched to the question actually asked rather than the one you answered last time.
Industries
Construction AI for the paperwork that decides margin
Projects are rarely lost on the build. They are lost in the tender that was rushed, the variation that was never notified in time and the site record that could not evidence what happened. That paperwork is where AI belongs on a construction business.
The pressure right now
What we hear from construction
- PQQ and tender responses rebuilt from scratch under impossible deadlines
- RAMS and CDM documentation copied between projects and slowly drifting from reality
- Site diaries and daily reports too thin to support a claim months later
- RFIs and variations notified late, losing entitlement under the contract
- Retention, final accounts and disputes turning on records nobody can find
Where it pays off
Six places AI earns its keep here
Not everything on this list will apply to you. Most organisations start with one and extend once it has been measured.
RAMS and method statements
Project-specific drafts built from your approved library and the actual scope, so the reviewing manager edits a relevant document instead of a copied one.
Site records and daily reports
Turning site notes, photographs and voice records into consistent, contemporaneous records that will still make sense to a quantity surveyor in eighteen months.
RFI and variation management
Drafting the notice, tracking the contractual clock and flagging when entitlement is at risk - under NEC or JCT, the timing is the entitlement.
Contract administration support
Extracting obligations, dates and notice requirements from the executed contract into something the project team will actually act on.
Cost and claim evidence
Assembling the record trail behind a variation or claim from the documents already in your common data environment.
Where we would start
The first three moves
1
Tender library first
Highest immediate return, no site risk, and it forces your best evidence into one retrievable place.
2
Then the notice clocks
Late notification is pure margin loss, and tracking is exactly what software should do.
3
Improve the site record
Better contemporaneous records cost little and change the outcome of every dispute that follows.
Risk and regulation
The part most suppliers skip
Where the risk sits
- CDM 2015 duties - designer and principal contractor responsibilities cannot be delegated to software
- Safety documentation must reflect the actual site, not a plausible generic version
- Contractual notice periods under NEC and JCT, where late is the same as never
- Subcontractor and workforce personal data, including CSCS and right-to-work records
- Client confidentiality and security requirements on secure or government projects
How we handle it
RAMS and safety documentation are drafted for review and remain owned, signed and legally accountable to a competent person. A generic safety document that reads convincingly is more dangerous than an obviously incomplete one, and the workflow is designed to prevent exactly that.
Contract notice tracking is built to prompt a person with time to act, not to send notices on your behalf.
On secure projects the deployment runs inside your own environment, including fully offline where the client's security requirements demand it.
Where this fits
Where to go next
Questions
Questions from construction
It drafts project-specific documents from your approved library and the actual scope; a competent person reviews, amends and signs. That is not a formality - CDM duties sit with people, and the review is the control that makes the speed safe.
Usually. Most CDEs expose an API or a synchronised folder, and read access to the document set is enough for the majority of these workflows. We confirm during scoping.
Often more so. Subcontractors lose the most entitlement to late notification and thin records, and the tender library gain applies at any size.
Start with an audit of what you already run
Two to four weeks to an evidenced picture of your AI use, spend and risk - and a ranked list of what to do first.