Your team already uses AI, each person in their own chat. An AI Harness turns scattered assistants into one system, plugged into your CRM and tools, that gets better after each action.
Meeting prep, CRM updates, list building, follow-ups: agents take them on, so your team spends its time selling.
Everything your team knows is already in the system, and they work from one place instead of ten tools, focused on their own next steps.
Setups that used to take a dedicated GTM Engineering team and six months go live in a few weeks, on the tools you already pay for.
Every correction your team makes becomes a rule that every agent follows. The system gets better the more you use it.
Agents do the work: prepare a meeting, update a deal, draft a follow-up.
What happened goes into the shared memory: accounts, notes, decisions.
When someone corrects an agent, it turns the correction into a rule.
Your team approves the rule once. Every agent applies it from then on.
Companies matching your ICP pulled from data providers and signals, checked against the CRM, ready to work.
PlaybookThe right decision-makers found on every target account, by role and seniority, and added to the CRM.
PlaybookVerified emails and mobile numbers found by trying several data providers in turn, so you only pay for what's found.
PlaybookEach account gets a tier and a one-line reason, so reps spend their time on the accounts most likely to buy.
PlaybookA short brief on the company, its people and its recent signals, before anyone reaches out.
PlaybookDuplicates the CRM misses (domain variants, subsidiaries, typos), incomplete records and messy job titles found and fixed, with merges you approve.
PlaybookWon and lost deals analysed to check your ICP and pitch. The findings go back into the shared memory.
PlaybookA Slack alert when a new decision-maker joins a company in your ICP, the best moment to start a conversation.
PlaybookYour champions and past buyers tracked: when one joins a new company, you hear about it with an angle to reach out.
PlaybookThe companies visiting your site and the pages they read, sent to the owner of each account.
PlaybookThe week's LinkedIn conversations about the problem you solve, so you know where to join in.
PlaybookThe lead is enriched, qualified and assigned, and the owner gets a Slack alert with the context before calling.
PlaybookLost deals and current customers watched for signals such as funding, hires or a champion's move, with an angle to reach out.
PlaybookHistory, recent news and open questions on the account, gathered in a brief with a suggested goal for the call.
PlaybookThe transcript becomes qualification fields, a dated next step and a follow-up draft. The rep approves before anything changes.
PlaybookStalled deals, past close dates, missing next steps and overdue commitments from calls flagged, each with a suggested action.
PlaybookPost drafts written from your own wins and proof points, ready for you to edit and publish.
PlaybookEvery recorded call feeds the shared memory, and anyone on the team can ask it questions from Slack.
PlaybookThe day's go-to-market work summed up in Slack: what moved, what got done, what's next.
PlaybookWhat was created, moved, slipped or lost last week, compared with the forecast, sent to the team in Slack.
PlaybookNeed something else? We build custom agents around your team's own processes.
CustomSome of our best plays stay off the website. Ask us about them during the audit.
Ask in the auditYour CRM stays the system of record. Agents read it live and write to it on your team's behalf, while your people work from one chat or a feed of next actions.
The harness, its memory and its rules belong to your company. Switch from Claude to ChatGPT or to open-weight models like Qwen, and keep everything your team has built.
Engineers now ship code by working with AI agents instead of writing every line. The same shift is reaching sales and ops: Cursor built ChatGTM for its own sales team, and Rippling runs its go-to-market as code. An AI Harness brings that way of working to your team.
Your data stays on your side. The harness lives in a GitHub repository your company owns. Third-party tools connect to it to read and write, but the system, its memory and its rules remain your property.
No. Your harness and your data belong to you. You can switch from Claude to ChatGPT or to open-weight models like Qwen, and keep everything your team has built.
It's built on GitHub, and from there, there's no fixed list. Your CRM, Slack, meeting recorders, enrichment tools or industry-specific software: if it has an API, the harness can work with it.
It depends on what we find in the audit. The method is standardized, but every harness is custom-built around your business, never an off-the-shelf deployment. Most teams have their first agents running within a few days.
The system stays with you. Instructions, memory and rules are plain files your team can read and edit. I train someone in-house to run it, or keep improving it month by month.
Book a free 30-minute audit. We map the manual work your team could hand to agents.
Book your free audit