Industry context

Professional Services

Client intake, proposals, project reporting and internal knowledge create repetitive coordination work. AI can help retrieve information and prepare drafts, while professional judgment remains with the people responsible for the engagement.

Operating observation

Useful assistance reduces document and coordination work without presenting a generated draft as professional judgment.

Client intake arrives by email and forms

Requirements need structuring, missing-information checks and an accountable owner.

Teams repeatedly search past work

Approved examples and project knowledge are difficult to find consistently.

Proposals reuse controlled content

Teams need current approved material, not an improvised claim or scope.

Project reporting is manually consolidated

Status, actions and financial context may sit in different systems.

Follow-up depends on memory

CRM tasks and project setup are often separate from the enquiry workflow.

Representative workflow

Client enquiry → Project setup

Structure an enquiry and prepare a scope draft while keeping engagement decisions with the responsible professional.

  1. InputClient enquiry
  2. AIExtract requirements
  3. CRMClient lookup
  4. RuleMissing information
  5. HumanProfessional review
  6. DraftProposal / scope draft
  7. OutputCRM + project setup

Environment

Typical systems and documents

Systems

  • Email
  • CRM
  • Project system
  • Document repository
  • Knowledge base
  • Finance data

Documents

  • Client briefs
  • Proposals
  • Scopes
  • Project reports
  • Approved templates
  • Engagement documents

Design considerations

Exceptions define the system

  • Access to client files should follow client and project permissions.
  • Professional judgment remains with the people accountable for the work.

Project context

Describe the process and systems involved.

Finch can assess where AI, software, integration, rules and human control belong.

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