Embedded AI operations

We wire AI workflows into your operation.

We audit your operation, find what’s worth wiring in, build the workflows that save time, cut cost, or move pipeline, and ship each one with a named owner on your team.

Why Flow Partners

AI works when it’s built into your operation and designed around the people who run it.

Most AI gets deployed as a side project — disconnected from the systems your team already uses, owned by no one in particular, measured against nothing. We do the opposite. We embed with your team, find where AI actually fits, and build it into the operation with someone on your team accountable for it from day one.

From experiments to company-wide impact

Your team is already finding things AI is good at — that’s the right beginning. We embed long enough to see which experiments deserve to become real workflows, then build them into the stack so the whole company benefits, not just the person who started it.

Built around how your team already works

Your team isn’t going to log into a new tool or rework their process. We wire AI into the workflows they already run — making the existing work take fewer steps, not adding new ones. Each one ships with someone on your team accountable for it.

Measured against real work

Candidates are scored against a rubric we co-create with you. Each implementation is measured in production against the time, cost, or pipeline it was supposed to move.

Sound familiar?

The work that’s eating your team.

If two or three of these are showing up across your operation, an AI workflow wired into your business probably pays for itself in weeks.

  • Your team is using AI tools daily — none of it shows up in the P&L

    value stuck at one person’s desk

  • AI pilots that worked in a demo but never made it into the actual workflow

    months of momentum

  • Tools added, processes unchanged — software bills go up, output doesn’t

    cost without leverage

  • Your team is at capacity — the people who’d own the new thing have no slot for it

    the initiative dies

  • No one’s accountable when an AI workflow breaks, so no one trusts it enough to rely on it

    quiet shelfware

How we work

Audit. Prioritize. Implement. Maintain.

One process, applied to every project. We map the operation end-to-end, prioritize against a rubric we build with you, ship each workflow with someone on your team accountable for it, and stay close to the systems we built.

Step 01

Audit

Map how your team makes decisions and where handoffs happen. Surface every candidate for an AI workflow.

  • Multi-round interviews across operations, GTM, and the systems they touch
  • Review of tickets, CRM, ERP, Slack, and SOPs
  • A map of how work moves through your team — who hands off to whom, where decisions get made, what happens when something breaks
  • A list of every workflow that could be automated, run by an AI agent, or kept human with AI assist
Step 02

Prioritize

Co-create a scoring rubric on what matters most. Score every candidate. Rank, sequence, and select what’s worth building.

  • Rubric co-created with your leadership — your weights, your priorities
  • Every candidate scored against the rubric’s dimensions
  • Ranked shortlist with proposed adoption stewards and build estimates
  • You decide what gets built
Step 03

Implement

Build inside the stack you already run. Wire into the real workflow. Ship with a named adoption steward who owns it after we leave.

  • Built into your existing stack — ERP, CRM, communication tools, data warehouse
  • Wired into the actual workflow your team uses, not a test version
  • Named adoption steward trained and accountable from day one
  • Clear documentation shipped with every workflow — how it runs, what data flows where, who handles it when something breaks
Step 04

Maintain & measure

Stay close to what we built. Monitor, fix, and report on what each workflow is actually doing in production.

  • Monitoring, small fixes, and steward support across wired workflows
  • Quarterly review against time saved, cost, and pipeline impact
  • Documentation means no one person is the only one who knows how it works
  • New builds priced separately

What we wire

What we typically build.

AI Implementation

Diagnose where AI actually fits. Design workflows your team will actually use. Implement with the people who’ll own them.

Workflow Automation

Internal workflows that used to take a person a day — running in the background instead. Built with your stack.

Stack + Data Wiring

HubSpot, Salesforce, Outreach, Apollo, Clay, data warehouse, attribution. Whatever you run, wired so AI has the context it needs.

Centralize AI Operations

Centralize the AI work already happening across your team. One place to see what’s running, who owns it, and what it’s producing — so the benefit lands across the whole company, not just where each experiment started.

Companies we’ve worked with

Real workflows, running in production.

DropoffClinician NexusStableAt ScaleLargo AIDropoffClinician NexusStableAt ScaleLargo AI

Who we are

We build, we don’t just advise.

We’ve wired AI and ops infrastructure inside growing companies. We work inside the operation, not from a slide deck.

Aaron O'Hearn

Aaron O’Hearn

Co-Founder & Partner

Spent years at Rev, a foundational AI company, before running GTM as a service for 20+ enterprise companies. Lives at the intersection of strategy, sales and product.

Andrew Nalband

Andrew Nalband

Co-Founder & Partner

One of Boston’s top 25 AI PMs. Lifelong product builder who has shipped products from zero to scale across multiple companies.

Let’s talk.

A 30-minute discovery call. We’ll learn about what you’re trying to accomplish, how you’re thinking about deploying AI across your company. You’ll leave with a clear view on what to do next.