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Services· Automation and agents·How do I build something that later runs on its own?

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You bought the AI platform, and the engineer who makes it work was not included?

We have the AI licenses, and my team is busy keeping what already exists running.

A team from the firm working inside your operation, by mission and at a fixed price, until what you bought works in production. With no platform to sell you.

Book a call25 minutes. Just one question when you book.

Forward Deployed EngineersSend this page to whoever decides

What you receive

  • What you bought working in production, against the written acceptance criteria.
  • Code, configurations and instructions in your own repositories.
  • The operating manual and the named internal owner.
  • The handover done to your team, with no later dependency on the firm.

The proof that applies here

700automated agents taken into production in a 150 person operation.
  • Leadership of more than 60,000 servers and 200,000 instances in continuous operation.
  • Eight years answering to a financial regulator without a single finding.

How we solve it

The method, not the promise.

  1. The mission gets written: outcome, perimeter, milestones, acceptance criteria and fixed price.
  2. The team works inside your operation, on your systems and with access you administer.
  3. It gets built on open tools, with everything produced in repositories in your name from day one.
  4. It gets delivered by milestone, with a cut after each one against the written criteria.
  5. It closes with a handover: operating manual, named internal owner and a session with whoever runs it.

Use this today, without hiring anyone

Four things worth having in writing before you put any engineer inside your operation, wherever they come from:

  1. The outcome, in one verifiable sentence. Not "implement the platform": "the collections team answers with the assistant and escalated cases drop by half". If it does not fit in one sentence, it is two missions.
  2. Who owns what gets built. Code, configurations and model instructions live in your repositories, not in the account of whoever built them.
  3. What they leave behind. An operating manual, a named internal owner and a handover session with whoever is going to run it.
  4. What whoever deploys it gains with each decision. If the engineer comes from the platform vendor, every architecture decision has an incentive next to it. Write it down, even if you decide to go ahead.

The fourth is the one that gets written least and weighs most on the year two invoice.

This sounds like you if

  • The licenses were bought months ago and usage still does not justify the renewal.
  • The vendor's pilot ended and the internal team is still running day to day operations.
  • This year's AI goal is already written down and execution is waiting for someone to carry it.
Who delivers
The founder defines the mission, leads it on site and signs the delivery. The platform is run by Edwin Torres and the interface is designed by Lawrence Tang. Both were part of teams the founder led. The team.
How engagements work
Fixed price, with written acceptance criteria before we start.
Timeline and price
Fixed, in writing, after we assess your case in the 25-minute conversation.

Before you hire

The work is done by mission, with a written outcome and a handover at the end. Whatever your organization needs to run every day stays in the hands of your team, prepared to do it.

The value of an engineer inside your operation shows when two paths would both work and one has to be chosen. This team resells no licenses and takes no commission from any platform: the path it recommends is the one that suits your operation.

Of what you bought in AI over the last year, what is running in production today?

Book a call[email protected]

In the cycle

Before thisVanguardBuildForgeAfter thisTaskforce

Where this service sits

VanguardForgeTaskforce
AI strategyAI governance and complianceAutomation and agentsData and analyticsCybersecurity and resilienceCritical operations and crisisMergers, separation and diligenceCost of AI and softwareInfrastructure and platform
See the full map

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