AI automation services that end in production, not pilots.
We map the workflows, encode the rules, build the AI agents, and stay until your team runs them — across one company or a whole portfolio.
Official services partner of the platforms defining AI
NVIDIA
Anthropic
Pilots that never reach production.
From AI-operations leads at large private equity firms: process transformation is the portfolio archetype — a manual process, a good candidate for automation — and the same walls show up at every company.
Pilot purgatory, portfolio-wide
Every company has a promising proof of concept, none of it in production. The value-creation plan says AI; the workflows still run on spreadsheets.
Consultants who leave decks
The strategy firms map the opportunity, hand over a roadmap, and leave. Execution, adoption, and ownership become someone else’s problem — usually yours.
Every company reinvents the wheel
Each portfolio company commissions its own mapping, its own vendor, its own pilot. The same workflow gets solved five times at five prices.
No visibility into what agents do
Where AI already runs, nobody can say what the agents decided this week, which rules they applied, or who reviewed the exceptions.
Maintenance is an afterthought
Skills are software: everything built has a maintenance requirement. When the builder leaves and the process drifts, the automation quietly dies.
A pilot that never ships is a line item, not a feeling.
What stalled AI looks like across a portfolio. Your numbers will differ — the first engagement puts figures on yours before anything gets built.
From anonymized engagements — AI-operations leads at large private equity firms and their portfolio companies
Process automation consulting that ships working agents.
Map the workflows, encode the rules, run the agents, hand over the owner’s manual — at one company or across the whole portfolio.
- 01
Deconstruct the process
We map the workflow as it actually runs — every handoff, exception, and judgment call — and find where to insert the automations.
- 02
Encode the rules, build the agents
The judgment your best operator carries becomes written rules; AI agents run them in your cloud, a human reviewing every exception.
- 03
Hand over the owner’s manual
Named in-house owners, decision logs, supervision, and a rewind plan — your team runs the system, with or without us.
Process improvement consulting leaves a deck. We leave agents in production.
Traditional process improvement consulting maps the opportunity and hands over a roadmap — implementation is a follow-on sale or someone else’s problem. The map is not the territory.
We are an AI implementation services firm. The team that maps your workflows builds the AI agents, deploys them in your cloud, and supervises them until your people take over.
Led by Peter Enestrom.
Asked by AI-operations leads.
The straight answers, before you book anything.
AI automation services are professional services engagements that design, build, and run AI agents inside a company’s real workflows. Instead of selling software or a strategy study, an AI automation services firm maps how work actually gets done — the handoffs, exceptions, and judgment calls — encodes those rules, and deploys AI agents that execute the workflow against them. A human reviews the exceptions the rules cannot cover. The defining tests: the agents run in your cloud environment, you own the IP and the encoded rules, and a person stays in the loop for anything the rules reject. The firm that maps the work is the firm that builds — nothing is handed off. Done well, the result is not a pilot or a deck but a production system your team can supervise — with an owner’s manual, decision logs, and a rewind plan for wrong actions.
Process improvement consulting maps workflows and recommends changes — the deliverable is a roadmap, and implementation is someone else’s problem. We build: the same mapping becomes encoded rules and working AI agents in your environment, supervised until your team runs them. You keep the map, the rules, and the agents.
One rule set, many companies. We map each company’s version of the workflow, encode what is shared and what is local, and run the agents company by company — so the portfolio stops solving the same problem five times. Diligence-side findings become builds that hit go post close.
You do. The agents run in your cloud, the encoded rules are your IP, and every system ships with an owner’s manual and named in-house owners. Support stays available; dependency is not the model.
Every agent decision is logged against the rule it applied. Exception queues show what was flagged and why, supervision reporting shows volume and accuracy, and a person reviews anything the rules reject. You can see what the agents did this week — that is the point.
Skills are software: every build carries a maintenance requirement. The owner’s manual covers routine maintenance, and when the process itself changes, the encoded rules get updated — by your team or with us.
Start with one workflow.
Tell us where your team loses hours. We will come back with a straight answer on whether AI can help, what it would take, and what it would pay.