One job eats hours every week
Someone rebuilds the same report or quote by hand every week. Work that repeats on a schedule is often the easiest to hand to an agent.
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We connect your CRM and shared drives to an AI agent that drafts the work, and a person on your team approves anything before it goes out.

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Your CRM, shared drives, inbox and accounting system already hold the information an AI agent needs to do useful work. We connect them to an agent we set up for you and build each workflow around the way your team works now. Everything runs in your own accounts and belongs to you, and each workflow has a named owner on your team who's trained to run it.
Client history sits in the CRM and the numbers sit in accounting, so someone copies between them by hand every week.
An AI seat can write a decent email, but it can't see your pricing rules or which clients have gone quiet, so staff retype the details every time.
Past clients and closed leads sit untouched because nobody has time to work through them, and the list grows every month.
Every client goes through the same four steps, and it takes 6 to 8 weeks from the start of the audit to a trained team.
We sit with the people who do the job and map each step, from where the information comes from to who signs off. Most of this happens during the audit.
We write down what the agent reads and drafts, and who approves its work. We also estimate your monthly AI usage cost before we start.
We connect your tools to the agent and test it on real cases with the person who'll own it. The smallest high-value item ships first, within the 3 to 4 week build.
Each person learns the workflows they'll run, in the tools they use every day. Every workflow comes with written docs and a named owner.
Thirty days after launch we compare hours saved with the audit's baseline. After that, a monthly retainer covers fixes, updates as tools change and light new work.
The main revenue build
Your CRM already holds people who bought once or almost did. We build a workflow that reads it every week, finds the past clients and closed leads worth another conversation, and drafts a personal message for each one. Your team approves, sends and closes.
You ask: What payment terms did we agree with Northline?
Net 45, signed in March. Source: Northline supply agreement, page 4.
Knowledge assistant
Saves timeWe connect an AI agent to the places your knowledge already lives: shared drives, email, your CRM and past proposals. Your team asks a question in plain language and gets an answer that points to its source.
More workflows we build
Every open quote gets a follow-up plan, so fewer of them go cold.
Your target list comes back researched, with a first email for each company.
Notes and next steps land where your team already works.
Overdue invoices get a polite reminder before they age.
[ Precision-built for operators. ]
Every open quote gets a follow-up plan, andevery past client worth a call gets a personalnote. The agent drafts them from your CRM eachweek, and your rep reads, approves and sendseach one. Replies and booked calls are loggedback in your CRM.
Book your free callDrafted by the Agent,Approved by Your Rep
Each week the workflow reads your CRM, ranks past clients and closed leads, and drafts a personal note for each. Nothing is sent until your rep approves it.
Someone rebuilds the same report or quote by hand every week. Work that repeats on a schedule is often the easiest to hand to an agent.
Past clients and closed deals sit in HubSpot or Salesforce, and nobody has worked through them. The win-back workflow, our main revenue build, starts there.
Staff keep asking the same colleagues where things are. A company brain answers from your own files and points to the source, and it only shows each person what they may see.
You know what's worth fixing and want the people who ranked it to build it and train your staff.
Still deciding? On a free 30-minute call we'll tell you what fits.
Yes. Every client goes through the same four steps, and the audit comes first because it shows which build saves the most. Its $1,500 fee is credited toward the build.
You do. It runs in your own accounts with written docs, and every workflow has a named owner on your team. You pay your own AI seats and usage, and we estimate that cost before we start.
First builds use the tools you already have, such as HubSpot, Salesforce, Google Drive, SharePoint, Slack or QuickBooks. Bigger builds come after the first one ships.
The audit, build and train package starts at $7,500 USD for one team over 6 to 8 weeks. Larger scopes are priced per department, and your AI usage is billed to you directly.
Every build is priced against the hours it saves. We record a baseline in the audit, then check adoption and hours saved 30 days after launch.

Research · 6 min read
Lost customers can be won back at a profit when the offer fits why they left, and a new lead's odds of a real conversation drop sharply after the first hour. The most quoted retention statistics are hard to trace to a method.

Case studies · 4 min read
Morgan Stanley, Steno, BCI and others have published results from internal AI assistants. Most of the numbers come from vendors, and the firms with the clearest results did similar groundwork before launch.

Case studies · 6 min read
Customer support has the most evidence behind it, while proposals, meeting notes and weekly reports have no measured small-firm result yet. Every small-firm number we found came from a vendor.

On a free 30-minute call you'll see one of our prompts run in your own AI tool and leave with a first step and its price.