Taltru links source records to extracted facts, versioned project rules, explicit unknowns and the authorised human decision.
AI extracts. Rules test. People decide. Taltru supports the evidence process while your authorised personnel retain professional judgement and approval authority.
You do not need to commit to software. Begin with a bounded engagement that clarifies the workflow, the evidence and the decisions that need attention.
A focused review of how one subcontractor evidence workflow moves from submission to decision, where controls weaken and what should change first.
A bounded, human-led review of a defined evidence batch. Delivery begins only after scope, confidentiality, secure handling and reviewer requirements are agreed.
Documents arrive through different channels, project requirements change, records expire, and the reason for a sign-off may be difficult to reconstruct later.
A document may have been accepted against an earlier requirement even though the project state, programme or responsible person later changes.
A file can be present without making clear what it proves, what remains unknown or who accepted the residual risk.
Every stage remains visible. A source can be inspected, a rule can be identified, an unknown can remain unknown, and the final judgement belongs to a named person.
The original document or record remains the evidential starting point.
Relevant facts are identified with a citation back to their source.
A defined, versioned requirement is applied to the available facts.
Supported items, blockers and unresolved matters are separated.
An authorised person reviews the evidence and records the judgement.
The evidence, rule version and decision context remain linked.
A synthetic insurance record makes every stage of the method visible without presenting it as a customer result.
The important result is not a vague score. It is a specific blocker, the exact rule behind it, the missing evidence and the human decision that follows.
Open the interactive prototype →
Fictional demonstration environment. No real contractor, project or customer evidence is shown.
The present mechanism connects evidence, requirements, unknowns and accountable human decisions. Later capabilities will be shaped by measured customer workflows.
The prototype separates supported findings, blockers and unknowns, then records automated checks and human decisions.
Monitoring queues, change triggers and escalation rules will be tested against measured customer workflows.
Reusable evidence records and integrations will follow only where customer evidence and security requirements justify them.
Taltru is inviting a small number of principal-contractor teams in England to examine where evidence and decision ownership become unclear, then agree what a useful pilot would need to prove.
Tell us enough to understand your role and interest. Do not include documents, worker data, confidential evidence or commercially sensitive project information.
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