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Salvador
Advisory Group
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How we work

Three phases, each with an exit you control.

You always know what you’re buying, what it costs, and what you get to keep. Plenty of clients stop after the first phase, which is a perfectly good outcome.

“Our focus is embedding high‑value AI agents into your core workflows, where they actually move the needle.”
The founders, Salvador Advisory Group

The engagement

Evaluate, prove, then operate.

Every engagement is structured around proving value before anyone commits to it. You can stop after any phase, and plenty of clients do.

  1. Evaluate

    1–2 weeks

    We review the initiative end to end: architecture, integration readiness, security posture and cost. You leave with a scorecard and a prioritized plan.

    You know exactly where you stand and what to do next.

  2. Prove

    4–8 weeks

    We build, deploy and instrument the agent in production, on your data and with your users. Quality, reliability and business impact are measured against the eval set agreed at the start.

    Your stakeholders see the numbers, against a baseline they agreed to.

  3. Operate

    Ongoing

    We stay on as engineers and advisers while the system grows: monitoring, cost tuning, architecture reviews, and new cases fed back into the eval set.

    AI runs reliably in production without becoming a liability.

Ground rules

How an engagement actually runs.

These are the four commitments we make on every project, and the ones worth holding us to.

  • The benchmark comes before the build

    We capture how your experts actually decide, keep the disagreements as signal, and freeze a reference set. Once that set stops moving you can change the prompt, change the model, and know whether it helped.

  • The code lives in your repo

    Your cloud, your repo, your CI. There is no dependency on us at the end, because there was never one in the middle.

  • Stochastic systems get deterministic guarantees

    Retries are idempotent, writes have atomic boundaries, concurrent updates are protected, and a request can never execute the same business action twice. That is what lets a probabilistic system take part in a process the business already depends on.

  • We will tell you not to build it

    If a rule is cheaper and safer, use the rule. If routing is all you need, a small classifier will do. We would rather lose the engagement than ship something you have to maintain forever for no reason.

Get started

Ready to ship?

Tell us what you’re trying to put in production. We’ll tell you, honestly, whether we can help.

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