RFI/RFP response accelerator
Opportunity intake, account alignment, document import, evidence backed technical drafting and gap labelling.
presalespublic sector tenders
Workflow Products
Workflow products for the work that already costs time.
Tesrex turns slow, evidence heavy workflows into governed AI products: source ingestion, evidence backed drafting, gap labelling, reviewer queues and action briefs that teams can reuse.
How this worksExpert led
Source
Pull documents, data, portals and records into one operating flow.
Pull documents, data, portals and records into one operating flow.
Prepare
Use retrieval, context design and model control to create review ready workpacks.
Use retrieval, context design and model control to create review ready workpacks.
Action
Route evidence, gaps and next steps to the people who own the decision.
Route evidence, gaps and next steps to the people who own the decision.
Workflow Products
Start with one slow workflow. Compress the evidence, drafting and review loop by 10x, then reuse the engine for the next.
RFI/RFP response is one product. The same source to action engine can support estate review, Copilot governance, Secure Access readiness, RCA and customer operations work.
Estate review accelerator
Licensing, lifecycle, support and asset evidence turned into a decision pack with ambiguity exposed.
technologyCisco estate
Copilot governance accelerator
Permission, oversharing, stale content and sensitivity checks prepared before rollout confidence.
financeregulated knowledge
Network RCA accelerator
Flow, packet, DDI and experience telemetry assembled into hypotheses an engineer can validate.
technologyoperations
Secure Access readiness accelerator
Users, applications, identity, posture and VPN fallback patterns mapped before architecture change.
healthcaresecure access
Customer operations routing accelerator
Summaries, case context, queues and outreach prep routed to the right manager, agent or reviewer.
healthcarecustomer operations
One engine, multiple workflow products.
A useful first product leaves a reusable operating layer behind: source ingestion, RAG context, model controls, evidence packs, reviewer queues, action briefs and feedback.
Work candidatesBid response, estate review, governance, RCA and customer operations.
Acceleration engineSource inventory, RAG context, context window rules, model controls and evidence packs.
Reviewed outputsAction brief, reviewer queue, decision trail, adoption route and improvement record.
From engine controls to first workpack.
The technical layer and the output pack belong together: what the engine can use, how context is assembled, where reviewers intervene and what leadership receives.
Compact enough for a review. Specific enough for engineers to see the operating model.
Portals, documents, CRM, exports and telemetry normalised before drafting starts.
Approved evidence, source anchors and citations pulled into the workpack.
Rules for what belongs in the context window and what stays outside.
Safe settings, sidecar checks and mandatory human gates where judgement matters.
Missing inputs, confidence notes and assumptions visible before review.
Reviewer changes captured so the next pass improves rather than repeats.
Practical workpack
What you get back.
A bounded set of artefacts that helps leadership decide whether to train, prototype, build, modernise or stop.
- Workflow acceleration map
- Source and evidence inventory
- Reviewer queue model
- Workpack prototype
- Adoption and governance plan
Map the workflow that is costing time.
We will identify sources, context windows, evidence packs, reviewer queues and the first practical automation path.