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AI automation for
consulting firms.

Streamline client intake, engagement setup, research organization, and project updates while keeping professional judgment with your consultants.

Practical starting points

  • Turn intake forms into structured project briefs
  • Prepare client onboarding task lists
  • Draft status summaries for review

What a connected workflow can look like

ILLUSTRATIVE EXAMPLE

A signed engagement triggers a project workspace, an onboarding checklist, and a draft kickoff brief based on client-provided information. A consultant reviews the brief before it is shared.

Design around your team

Keep confidential client material inside approved systems. Confirm retention and access requirements before connecting documents to an AI model.

Start with the process, then choose the tools

We map the current workflow, the people involved, and the systems that hold your data. This identifies which steps follow predictable rules, which can benefit from AI, and which need a human decision. Your existing integrations and access requirements shape the implementation.

Define success before launch

Choose a measurable operational goal, such as fewer duplicate records, faster routing, or less time spent assembling reports. Test normal requests and unusual cases. Agree on who reviews exceptions and who maintains the workflow after release.

Bring one real example

For your first conversation, describe a recurring task, list the tools involved, and explain where work gets stuck. Use anonymized examples where possible. We can then assess feasibility and outline the information needed to scope the project.

Explore workflow automation ↗
LESS BUSYWORK. MORE BUSINESS.

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