Consulting firms
How this industry operates today
Engagements are sold on expertise; every proposal claims uniqueness but borrows heavily from past work.
Common pain points
- Non-billable hours balloon on proposals
- Methodology descriptions drift from approved language
- Post-project learnings never find the next pitch
Where time is wasted
- Hunting slides and case write-ups across projects
- Reformatting the same team bios
- Email ping-pong on commercial terms
Where errors occur
- Outdated client logos in decks
- Scope creep from ambiguous SOW text
- Confidential client detail in wrong template
How DataFlight fits
Search over sanitized past deliverables; agentic proposal and SOW assembly; workflows for practice lead approval on commercials.
Scenario: Fixed-fee proposal
Knowledge Base Chat
Retrieve similar SOWs and rate cards.
Agentic AI
Build scope, assumptions, and exclusions from brief.
Workflow automation
Finance sign-off on margin assumptions.
Scenario: Knowledge capture after project
Knowledge Base Chat
Tag learnings to industry and service line.
Agentic AI
Summarise outcomes for reuse library.
Workflow automation
Partner publishes to “approved pitch” set.
Scenario: Staffing plan draft
Knowledge Base Chat
Roster templates and skill matrices.
Agentic AI
Suggest roles from project shape.
Workflow automation
Resourcing lead confirms availability.
Outcomes
- Higher win-rate throughput
- Less non-billable proposal time
- Stronger reuse of firm IP
Contact us for pricing.