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Use case

Proposal & Report Generation

Every proposal starts from a blank page at 9pm; every recurring report is assembled by hand from the same five systems, every single period.

What can be automated in proposal & report generation? With current AI and integration tooling: first-draft assembly from crm data, past wins, and templates; recurring report generation from live system data; consistency and completeness checks; version-controlled handoff to editors. What should remain under human control: all content judgment, pricing, and commitments; final edit and approval before sending; anything representing the firm's opinion. Olyra implements this with confidence scoring, audit logging, and human-review gates matched to risk.

The manual reality

What this work looks like today

Who does it

Sales teams, partners, project managers, analysts — senior time at its most expensive.

Typical systems

CRM, past proposals, template libraries, BI exports, spreadsheets, slide decks.

The cost

Measured before we touch anything: Hours per proposal/report · Turnaround time · Win-rate movement (proposals out faster)

What changes

What gets automated — and what stays human

Automated (with logging):

  • First-draft assembly from CRM data, past wins, and templates
  • Recurring report generation from live system data
  • Consistency and completeness checks
  • Version-controlled handoff to editors

Stays under human control:

  • All content judgment, pricing, and commitments
  • Final edit and approval before sending
  • Anything representing the firm's opinion
Measurement & governance

How value and risk are managed

Measure

What we baseline and track

Hours per proposal/report · Turnaround time · Win-rate movement (proposals out faster) · On-time report rate

Governance

Risks designed for

Approval gates before anything leaves; brand/claims control via templates; source-data lineage logged.

Typical implementation path: One document type (your most frequent proposal or weekly pack) piloted in weeks. Implementation follows the Olyra 120: pilot on real historical volume, parallel run, then measured cutover.

Find out what AI can actually do for your operations.

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