Finance-grade approval for corporate travel
Your policy isn't enforced until after purchase.
A finance-grade approval + evidence layer for bookings from email, PDFs, screenshots, Slack, and Teams. Launching March 2026.
- Deterministic policy check (same input → same outcome)
- Price context shown on the approval card
- Policy version + input hash + timestamp included
Production launch: March 2026. Early adopters onboarded in sequence.
Finance finds out too late.
Bookings happen across random sites and apps—often approved informally in chat.
Violations surface after purchase (or after expense).
No consistent evidence trail → audit, tax, and compliance risk.
Forward the booking. Get a decision you can audit.
Email / PDF / Screenshot
Any booking format in
Policy eval + price snapshot
Deterministic decision
Slack / Teams approval card
Human decision with context
CSV export + evidence pointers
Audit-ready record
Email / PDF / Screenshot
Any booking format in
Policy eval + price snapshot
Deterministic decision
Slack / Teams approval card
Human decision with context
CSV export + evidence pointers
Audit-ready record
Any booking format in → deterministic policy decision + price snapshot → Slack/Teams approval → exportable audit record.
What Finance gets
Evaluate bookings before spend happens
Capture off-channel bookings without forcing a new booking tool
Standardize approvals with evidence attached
Export decisions and proof for audit and reconciliation
Not a booking tool. A control layer.
Fynally sits above the messy reality of corporate travel and focuses on governance: pre-spend decisions, price evidence, and audit trails—embedded where approvals already happen.
Deterministic Evaluation
Same booking, same policy, same inputs -- same outcome. Every time. No probabilistic variance.
Logged Evidence
Policy version, input hash, decision payload, and timestamp captured at every evaluation. Replayable and exportable.
Multi-Source Price Snapshot
Fare context from multiple pricing sources captured at decision time. Not a guess -- a benchmark with provenance.
Fail-Safe Review Routing
Low-confidence or ambiguous bookings route to human review. Never auto-approved. Never silently passed.
Run a sample check
Finance-grade by design
- ✓Deterministic decisions (same input → same outcome)
- ✓Evidence preserved (policy version + decision payload + timestamp)
- ✓Review queue for low-confidence cases (fail-safe, not fail-open)
- ✓Launch timing: March 2026
Ambiguous Trip Details
- Traveler
- John Doe (john.doe@example.com)
- Dates
- Jun 15 – Jun 18, 2026
- Route
- SFO → ??? (Ambiguous destination)
- Purpose
- Client Meeting (Unconfirmed)
Potential Policy Violation
Destination Missing
System Notes
AI unable to confidently extract destination from email request.
Fail-safe review: when details are ambiguous, Fynally routes to a human instead of guessing.
What you get in March 2026
Deliverables, not promises.
Proof artifact: Sample decision record (CSV)
A synthetic example of what a decision export can look like: policy version, input hash, timestamp, price context, and outcome—formatted for finance review.
See sample decision record (CSV) →Synthetic example. Does not use customer data or customer policies.
Common questions
No. Fynally is a governance layer that captures bookings from existing channels (email, Slack, Teams, etc.) and enforces policy at approval time. Employees can keep booking where they do today.
No. Fynally is a governance layer that ingests booking artifacts and controls approvals and auditability regardless of where the booking originated.
No. Policy enforcement is deterministic; automation may assist extraction/normalization but does not decide approvals.
Uncertain cases route to a review queue so the system fails safe rather than approving silently.
An approval card with the trip summary, policy decision (compliant / needs approval / out of policy), price snapshot evidence, and Approve/Reject actions. Evidence is preserved for audit.
Launching March 2026: intake, deterministic policy evaluation, price snapshot evidence, Slack/Teams approval cards, and evidence export (CSV). Self-serve admin, analytics, and additional integrations come after launch.
Every decision is tied to input artifact identity, policy version, pricing snapshot, and timestamp. Evidence can be exported for Finance and compliance review.
We store what’s needed to evaluate policy, deliver approvals, and produce audit trails. We minimize data and follow security best practices; see our Privacy and Trust pages for detail.
Control travel spend before it's spent.
Production launch: March 2026. Early adopters onboarded in sequence.