Assumptions are visible, not hidden
Every score starts as Assumed; users upgrade it to Personal estimate or Verified. The system never pretends to know what it cannot know.
Controlled AI prototypes
Working prototypes, built with controls first.
A focused service for life-science teams that want to see AI working on their real workflow: commercial intelligence, QARA, forecasting, regulated documents and reporting, before committing to a platform. Useful when a team needs evidence before buying tools, changing workflows or scaling AI internally. Every prototype ships with defined AI limits, human review points and source-linked outputs.
ForCommercial, QARA, forecasting, operations and reporting teams
Use caseTender analysis, document intelligence, scoring and prioritisation, structured reporting
MethodNarrow prototype, mapped controls, verifiable assumptions
PrincipleAI prepares the analysis. People verify and decide.
Worked example
From 6 tender documents to a scored bid decision.
A prototype built for a pharmaceutical distributor evaluating hospital tenders: upload the tender documents and the system extracts lots, scores ROI, portfolio fit, competition and supply feasibility, and produces execution plans, with every number traceable to a source section.
Anonymized demo prototype, not a production client system.
Every value has a source
Deadlines, penalties and payment terms link back to the tender section or contract clause they came from, ready for audit.
The system asks for what it needs
Open questions are ranked by financial impact, so the team verifies the highest-value lot first.
A prototype like this is typically scoped in the workflow audit and built in weeks, not quarters. AI workflow audit.
Practical value - Adoption
Nothing new to learn. The prototype fits the workflow you already run.
New tools fail when they force new processes, checklists and vocabulary. Prototypes are shaped around the team’s existing steps: same documents in, same decision out, just faster and traceable.
Observed in document-writing workflows
75%+
Time saved on drafting and revision work.
In comparable document-writing workflows, Weiser Systems observed approx. 75%+ time saving during internal testing. See the supporting patient-facing materials proof point.
Adoption comes from fit.The prototype is designed around the current workflow first. Teams verify where it helps before any platform decision.
The workflow stays familiar.
01
Real inputsDocuments and decision criteria the team already uses.
02
AI preparesExtraction, summaries, scoring drafts and open questions.
03
People verifyAssumptions are corrected, estimated or verified.
04
Decision recordThe rationale is captured with source links.
05
Scale decisionScale, adjust or stop based on evidence.
What changes in practice
A controlled way to see whether AI helps.
The pilot turns an unclear manual process into a visible operating model: what goes in, what AI may prepare, what must be reviewed and how the decision trail is captured.
A
Before: scattered analysis
Requirements buried in PDFs, scoring in someone’s head, deadlines tracked in email, no record of why a bid decision was made.
B
After: controlled assistance
The prototype extracts, structures and scores; flags what is assumed vs verified; produces the decision record automatically.
C
Visible controls
Allowed inputs, forbidden decisions, review stages and audit notes are defined before the build starts.
D
Measured pilot
One workflow, one team, real documents; errors and workload impact captured before any scale decision.
Prototype scope
One workflow. Real documents. Weeks, not quarters.
Each prototype is deliberately narrow. It proves whether a controlled AI workflow can reduce manual effort before the team commits to a broader platform or operating model.
↗
Commercial intelligence
Tender and market analysis, opportunity scoring, competitor tracking, structured decision support. The worked example lives here.
¶
QARA and regulated documents
Document sweeps, consistency checks, requirement extraction, review preparation and audit-ready trails.
✓
Forecasting and reporting
Recurring report assembly, data-to-narrative drafts, variance summaries with source links.
Where AI can help safely
Structured assistance without black-box decisions.
The prototype can prepare analysis, extraction and draft scoring. It does not make the business, quality or regulatory decision. Those stay with the team.
Structured extraction
Pull requirements, values and deadlines from documents, each tied to its source section.
Transparent scoring
Weighted criteria the team defines and can override; no black-box ranking.
Verification workflow
Assumed, estimated and verified stages keep human judgement in the loop and visible.
Decision records
Reports and audit trails generated from the verified state, ready for internal review.
Engagement model
Map, control, build, verify.
The engagement is designed to avoid uncontrolled automation. A narrow prototype is easier to validate, document and improve before the team decides what should happen next.
01
Map the workflow
Inputs, owners, decisions and data sensitivity.
02
Define controls
Data boundaries, forbidden decisions and review responsibilities.
03
Build the prototype
Limited working system on real or safely masked documents.
04
Verify and decide
Real users, captured errors, evidence-based scale decision.
Useful for
Teams under recurring analysis deadlines.
Useful for tender windows, submission cycles and reporting periods where manual extraction consumes expert time and decisions need to remain traceable.
Traceabilitysource-linked
Verificationstage-visible
Scale decisionevidence-based
Outputs from the first engagement
- Workflow map and data-boundary definition
- Risk and control register for AI-assisted steps
- Working prototype on the selected workflow
- Verification checklist and acceptance criteria
- Recommendation to scale, adjust or stop
Start small, keep control
Want to see your workflow as a prototype?
Send one workflow description or example document set. We will assess whether a controlled prototype can reduce manual effort, and what it must never be allowed to decide.