Services · Managed AI agents
Give your whole team AI agents that know your business. Shared, connected to your systems, and tested every week.
We connect your systems, clean up the data underneath, and build agents your team uses from Slack. Your company owns their context, skills and memory.
01 Connect your systems
The tools you run on
- SalesforceCRM
- HubSpotMarketing
- NetSuiteERP
- StripeBilling
The files nobody else will touch
- Legacy databaseSQL 2008
- FTP folderSFTP
- Vendor flat files.CSV
- Spreadsheets.XLSX
02 Clean up your data
Your reliable data layer
- Definitions
- MQL = form fill + fit score 70+
- Checks
- 42 of 42 passing
- Pipelines
- Synced 4 min ago
03 Build agents your team uses
Dana
What counts as an MQL for us?
GTM AgentApp
A form fill with a fit score of 70 or higher. You had 1,284 last quarter, up 12%.
SalesforceWarehouseDefinition: MQL
Dana
Route last week’s MQLs to Sarah’s team.
GTM AgentApp
Done. 86 leads routed to Sarah’s team.
Workflow ran
Why it matters
Turn AI into a company asset that compounds. Shared by your whole team, and better every week.
The best company workflows usually begin with one curious person. They connect a few tools, write better prompts, build a repeatable workflow, and start getting real leverage.
Then the workflow lives in their account. The context lives in their chat history. The skill lives in their head. Everyone else is still starting from scratch.
A managed agent changes that. Your team gets shared agents, connected to the systems your company runs on. People can ask questions, trigger workflows, and share answers, all from Slack. The agent's context, skills, and memory are built for the whole team.
And it gets better on purpose. We evaluate the agent against real questions, so improvement is measured, not assumed.
Today
- prompts-v7-final.txt
- Chat history2,148 messages
- renewal-workflow.pyOnly Dana runs it
Lives with one person. Everyone else starts from scratch.
With a managed agent
- Sales
- Finance
- Operations
- Marketing
- Customer success
- Leadership
Tested every week against real questions
Everyone asks the same agent, and it improves every week.
AI agents
AI agents connected to the way your company works. Ask, trigger and share from Slack.
Owned by your team
Your company owns the agent's context, skills, and memory. It becomes a compounding asset, not another subscription.
Shared context
Your business definitions, customer segments, and edge cases live with the agent, not on someone's laptop.
Connected to your real systems
Salesforce, ERP, warehouse, internal databases. Wherever truth lives, the agent reads from it.
Maya
@GTM Agent which renewals next quarter look at risk?
GTM AgentApp
- Loaded team memory: renewal playbook
- Used your definition: at risk = usage down 30% in 60 days
- Read Salesforce renewals and product usage from the warehouse
Three renewals next quarter look at risk, worth $412K in annual revenue.
| Account | Renews | Usage, 60 days |
|---|---|---|
| Halcyon Freight | Jan 14 | −41% |
| Brightline Health | Feb 2 | −36% |
| Corbel Systems | Mar 9 | −33% |
Share to #cs-teamOpen as a sheet
Maya
Share it with CS and flag each account owner.
GTM AgentApp
Posted in #cs-team and tagged all three owners. 3 tasks created
The value is the managed context.
- Controlled access for reads and updates
- Permission-aware access
- Auditable workflows
- Ongoing monitoring
How it’s delivered
Get a working agent in one project. Then keep it sharp, if you want to.
Scope it
We pick the questions and workflows that matter most to your team, and agree on a set project.
Build and test it
We connect the agent to your systems and test it against your team’s real questions before launch.
Keep it improving
Optional: a small monthly retainer to keep testing it, add skills, and keep up as your business changes.
The foundation
Agents your team can trust start with clean data.
If your definitions don’t match or your pipelines drift, the agent will repeat the mistakes. We fix the foundation as part of the project.
Case study · Spark Hire
How Spark Hire Scaled Customer Account Reviews with AI in Slack
A custom AI agent designed and built by Agreeable Data on Anthropic’s Claude Managed Agents lets Spark Hire review customer accounts from Slack and capture the results in Salesforce.
Read the case studyWhere to start
Give your agents numbers they can trust. Start with a Revenue Analytics Audit.
The audit shows where your data breaks before an agent ever reads it. Its fee is credited in full when you keep working with us.