Find it
Bring us the manual work, missed handoff, or recurring bottleneck.
Custom AI agents for Sagan members
Put AI to work on your business.
We scope, build, connect, and maintain custom agents inside the tools your team already uses.
Sagan AI build library Open catalog →
231cataloged agent builds
231build patterns
14industries
118connected tools
107home service builds
The work is ugly. Good.
The best agent ideas are usually hiding inside recurring admin, status checks, handoffs, and spreadsheet rituals.
Sales
5-Touch Estimate Follow-Up
ServiceTitan, Jobber, Housecall Pro, GoHighLevel, Zapier, and Make.
FinanceEmail to QuickBooks Bills
Extract vendor invoices from Gmail or Outlook and create draft bills in QuickBooks.
KnowledgeVoice Walkthrough to SOP
Turn expert narration into a structured procedure with timestamps and verification flags.
ServiceWork-Order SLA Rescue Queue
Surface at-risk tickets in Jira and Zendesk before they breach a commitment.
Not a chatbot with your logo on it
An agent should move work, not just talk about it.
It watches for a trigger, gathers context, makes the safe decisions, asks a human when judgment matters, and leaves a clean trail behind.
See how a build worksThe catalog shows where the work is.
Most opportunities cluster around risk, reporting, customer operations, and the systems teams already pay for.
84 Compliance & risk
84 Reporting & analytics
70 Customer operations
68 Ops automation
67 Sales & lead generation
65 Data & enrichment
The tools showing up most
- Airtable46
- Google Sheets31
- HubSpot30
- QuickBooks30
- ServiceTitan24
- Slack21
Agents do the first pass. People own the call.
See the operating model → Vendor invoices Extract, match, and create the draft bill Review exceptions and approve payment
SLA rescue Assess breach risk and assemble context Choose the intervention and customer response
Reviewable SOP Order steps and flag claims needing proof Verify the procedure and own the standard
From annoying workflow to working system.
You do not need a spec. You need one recurring problem worth killing.
Map it
We trace the tools, data, decisions, edge cases, and human checkpoints.
Approve it
You see the architecture, scope, and estimate before a build starts.
Ship it
We build in tight cycles, test on real work, and make the behavior visible.
Run it
We host, monitor, and improve the system after the first useful release.
Clear before we code
Member builds start as low as $500.
You approve the scope and estimate first. Usage, third-party tools, hosting, and future build cycles stay visible.
Start with one ugly thing
What does your team still do by hand every week?
Bring the messy version. We will tell you whether an agent is the right tool, what it should touch, and where a human should stay in control.