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AI for Professional Services

Turn firm knowledge into a practical advantage for every engagement.

Help teams find trusted knowledge, prepare client work and keep CRM records current—with confidentiality, source traceability and professional review built into the workflow.

Workflow in context

From a new opportunity to a reviewed proposal draft

A proposal example: an assistant can gather approved firm material, map it to a request and prepare a draft for the engagement lead to validate.

Illustrative handoff

Business system
AI prepares work
Employee reviews
Work designed around the work

From a new opportunity to a reviewed proposal draft

A proposal example: an assistant can gather approved firm material, map it to a request and prepare a draft for the engagement lead to validate.

Business development

Client intake and qualification

Capture inquiry details, identify missing information, check routing criteria and prepare a CRM record for a business development professional to review.

Growth

Proposal preparation

Find relevant, approved credentials and reusable content, map requirements to a response outline and draft sections for subject-matter and commercial review.

Delivery

Research and document analysis

Search permitted internal and client materials, summarize key points with source references and identify questions for an analyst or engagement team to resolve.

Knowledge

Engagement knowledge assistant

Help staff locate methodology, templates and prior internal guidance while respecting document permissions and clearly distinguishing sourced facts from generated suggestions.

Illustrative system connections

Fit the workflow to the systems and controls already in place.

Named categories are illustrative integration possibilities, not claims of formal partnerships or installed connections. Access should reflect client confidentiality, matter or engagement boundaries, and firm policy.

Integration examples are possibilities to assess, not claims of partnership, certification or existing customer deployments.

Illustrative systems

Potential connection points

  • Document and knowledge repositories
  • CRM and opportunity management
  • Email and collaboration
  • Proposal libraries
  • Project delivery systems
  • Identity and permissions
Governance and approval

Make the boundaries part of the design.

The right safeguards depend on the workflow, information involved and the decisions it may influence. Agree on ownership, permissions, review and escalation before enabling actions.

  • Keep professional advice, scope commitments, pricing and final client deliverables subject to qualified human review and applicable firm approval.
  • Respect client confidentiality, engagement boundaries, privilege where applicable, and source-system permissions; do not expose one client's material to another engagement.
  • Require source verification for research and document summaries. Make uncertainty visible and prevent generated text from being mistaken for verified firm guidance.

Outcome measures

Measure the process, not a promise.

Set a baseline and define data owners before deployment. These are candidate measures, not promised results.

  • Time to assemble a first proposal draft
  • Source verification and correction rates
  • Client intake completeness and routing time
  • Search success and repeat knowledge requests
  • CRM record completeness and follow-up timeliness
Related AI capabilities

Bring the right capability to the workflow.

Explore services that can support discovery, implementation and ongoing operation.

Next step

Explore an AI workflow for professional services.

Bring a process, its constraints and the outcome you want to measure. Start a conversation about fit, system access, approval boundaries and a sensible first step.

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Connected expertise, one accountable team.

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