AI operations. Automate the work that repeats, with one number each lane answers to.
For owners whose calls go unheard, leads wait in inboxes and reports get rebuilt by hand. We map how the work runs, write the guardrails, agree one KPI per lane (the number that shows whether it works), and only then build managed AI agents for the lanes that earn it.
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- Map first, then build
- Guardrails written before anything runs
- One KPI per lane, agreed up front
What you receive
- A map of how the work runsWhere calls land, where leads wait, which reports get rebuilt by hand.
- Written guardrailsWhat each agent may touch, send, hand back to a person, and stop on.
- One KPI per laneAgreed before the build, measured the same way each week.
- Agents run and tuned by SuedeYou watch every run live; the fixes are ours to make.
A lane that stops earning its number gets switched off. That is part of the arrangement.
Five lanes, each with an owner and a number attached
Suede AI runs two practices side by side: full-stack GEO, the visibility work this site was built on, and operations. Operations starts with a walk through how the business runs today: where calls land, who answers them, what happens to a lead between the form and the follow-up, which reports get rebuilt by hand at the end of a month. That walk produces a map, and the map decides which lanes are worth automating and which read better left alone. The bottleneck fixes come out of the map first (the queues and handoffs where work piles up) before any agent is built.
Call review
Where calls go unheard. The map counts how many calls a manager actually listens to in a week, and what the rest would have shown them.
Scored transcripts, weekly pattern report
Lead qualification
Where leads wait. The map follows an enquiry from the form to the first follow-up and marks every place it sits in somebody's inbox.
Routed leads with stated reasoning
Script and rebuttal consistency
Where the floor drifts. The map sets the written script beside what actually gets said on the phone and notes which gaps cost the sale.
Drift report, coachable and dated
PR rebuilds
Where the press record went stale: a newsroom out of date, a founder story nobody refreshed, coverage that stopped. The map decides whether that needs a one-off repair or a standing lane.
Press-ready assets and pitches out the door
Digital operations
The recurring digital chores of a company: reporting, listings, records, and the handoffs between tools. Automated where automation holds up, left with a person where it does not.
Fewer hand-built reports each month
Agents are built and run inside Suede AI Agent Studio, the Suede AI agent builder. A client opens the flow and watches it execute step by step, which is what makes the work checkable rather than described. The infrastructure underneath (the Studio, the guardrails, the reporting) is built and kept by Suede. What each agent does once its lane is approved, and what watching it looks like, is on the managed AI agents page.
Guardrails first, then the KPI, then the agent
- 1 · Map the laneWe watch the work happen once, by hand, and write down the steps, the exceptions, and the person who owns the outcome today.
- 2 · Set the guardrailsWhat the agent may touch, what it may send, what it hands back to a human, and what it stops on. The guardrails are written before anything runs.
- 3 · Attach a KPIOne number per lane, agreed up front, measured the same way each week. A lane with no number worth tracking stays manual.
- 4 · Build it in the StudioThe flow is assembled as nodes in Suede AI Agent Studio, so the path a task takes is visible rather than buried in a script.
- 5 · Run it in the openThe client watches the runs live. Suede tunes, fixes and extends between them; the client's job is watching.
Lanes that stop earning their number get switched off. That is part of the arrangement, and it is easier to do when the number was agreed before the build.
An operator's practice, not a software licence
Jason Colapietro built and ran the most successful call centers in his niche and exited them for millions. The sales scripts he wrote for those floors changed the call center industry and are still in use across it today. The disciplines on this page (call review, lead qualification, script and rebuttal consistency, the reporting rhythm behind a sales floor) are the ones he ran by hand for years and wrote books about afterwards. The agents encode that method; they did not invent it. He still listens to sales calls himself.
That history is also why the guardrails come first. A floor measured badly gets worse, and an agent pointed at the wrong number will hit it. The map, the owner and the KPI exist to keep automation aimed at something a business actually wants more of.
The visibility side of the house is written up separately: full-stack GEO covers what the machines say about you and what gets done about it, and the GEO agency page covers how to evaluate that work.
Move from a defined problem to working systems
Use an AI workflow assessment to choose a bounded first pilot, or forward deployed engineering to address problems that cross people, process and tools.
AI integration connects the agreed systems, while AI workflow automation implements the recurring task with its approvals and exception paths.
For a specific operating need, automated business reporting builds the repeatable readout and business knowledge base setup organizes engagement records in an Obsidian workspace.
Questions about running AI operations
What does managed mean here?
Suede builds the agents, runs them, watches the output and fixes what drifts. Clients watch it run in real time without having to adjust or touch anything; their job is watching, Suede runs the rest. Access to the flows in Suede AI Agent Studio comes with the engagement, so the runs stay open to inspection.
Which parts of our operation get automated?
The parts that survive the map: repetitive, high volume, with a clear definition of done and a number attached. Judgement calls, escalations and relationships stay with your people. A lane with no measurable outcome is left manual on purpose.
How do we know it is working?
Each lane carries one KPI, agreed before the build and measured the same way each week. Alongside it you get the run history in the Studio, which shows the individual tasks the agent handled and what it did with them.
Is this the same practice as the GEO work?
Same firm, separate practice. Suede AI runs full-stack GEO on the visibility side and managed AI agents on the operations side. Some clients take one, some take both; the operations work wraps around the visibility work rather than replacing it.
Do you need serious triage before any of this?
Sometimes, and that is a separate named offer: a forward deployed engineer who sits inside the operation, sorts what is broken from what is merely loud, and redirects the work before an agent is built for it.
Suede in the news
September 2026 company announcements.
Tell Jason where the work piles up
Thirty minutes on a call is enough to find the first lane worth mapping. Jason replies himself, and you get a written scope. To arrive with numbers, size the workflow first in the free AI automation scope planner: frequency, time per run, human review and data access.