CRM Automation

A CRM only helps when it reflects the work happening around it. We connect the systems that create, update, route, and review records so the team has a usable view of every relationship and next step.

What we build:

  • Record creation, enrichment, deduplication, and field validation
  • Assignment, ownership, pipeline-stage, and task-routing rules
  • Activity capture from connected forms, inboxes, calendars, and tools
  • Follow-up, reactivation, and escalation workflows
  • Pipeline hygiene checks and reporting for missing or overdue work

What you receive: A CRM workflow tailored to your team’s definitions and handoffs, with clear exception paths and human review for changes that need judgment.

Relevant implementation proof

See broker-adjacent valuation and lead-capture work first, followed by a transferable example of documented financial-services automation.

Legal Services / M&A

The Law Practice Exchange

The Law Practice Exchange's core AI-powered valuation product took 30+ minutes to run and failed frequently. We rebuilt the system with parallel processing, vector stores, background execution, and the OpenAI Responses API. It now runs in 5–6 minutes with near-zero failures.

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Legal Services / M&A

The Law Practice Exchange — Match Engine

A proposed AI match engine that turns a plain-language buyer or seller brief into ranked matches from HubSpot contacts and live Marketplace.law listings, with a user-approved Apollo prospect search when no quality match is found.

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Financial Services

Financial Services Agency

A financial services agency's agents were spending 2–3 hours per lead on KYC paperwork and suitability reports. We automated the entire process with a custom AI agent trained on their knowledge base. Capacity doubled. Revenue increased 30% in 60 days.

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