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A practitioner firm, not an advisory shop.

Run by operators who have already shipped the work we're selling.

A small, deliberately senior team. What we sell is what we've lived as operators: rewiring engineering orgs and implementing AI into products and workflows without freezing the existing roadmap.

The team
  • Engagement Lead Travis Prowell prevCTO · $100M Payments & SaaS
  • Delivery Lead Alejandro Rosales prevVP Engineering · regulated fintech
  • AI Platform Lead Phaedrus Raznikov prevStaff Engineer · frontier AI platform
  • Product Lead Tom Bexx prevGM & SVP Product · enterprise SaaS
+ Specialist Partners
+ Senior Engineering Team

I spent nearly two decades leading technology organizations. Startups at $5M ARR. A PE-backed business I built myself and led through multiple acquisitions. Most recently, Vanco — a $100M+ payments & SaaS platform where I served as CTO across 340 engineers, a regulated multi-product business with auditors on speed-dial and customers whose money we moved. The work was never theoretical.

By 2024 I'd spent a year trying to move the AI question forward from the CTO chair, and I'd hit a wall. The pace of change at the model layer was outrunning the governance cadence of the business underneath me. I couldn't experiment fast enough from that seat. So I left — pulled in a small group of the best operators and engineers I'd worked with, never more than twelve of us — and we started building.

For eighteen months we built. The product itself isn't the point — what mattered was what happened around it. We tested every framework, every agent stack, every tool with credible hype around it. We held the work to the engineering bar I'd been accountable for at Vanco — the standard a regulated enterprise actually has to meet. Not vibe-coding. Software worth shipping.

What we didn't expect was where the real value showed up. The most transformational use of AI in our work wasn't in the product we were building — it was in how we were building it. Specs became the unit of work. Agents wrote the first drafts. Evidence — not vibes — replaced opinion as the acceptance criterion. Rewiring every stage of the SDLC around the model changed the shape of our output completely.

We set out to build AI products. What we built instead was a new way to build software — and that turned out to be the only thing worth selling.

So we sold the product IP and put the firm entirely behind the method. LowGap exists to bring this AI-First SDLC to the companies still trying to make the shift pencil — the mid-market and PE-backed engineering organizations that don't have twelve months for a Big-Four readiness engagement and don't need a boutique lab fine-tuning them a bespoke model. They need operators who will sit inside their org for ninety days and leave a playbook the team owns.

We will. That's the whole firm.

02 — What we believe

Six beliefs that shape every engagement.

These aren't marketing slogans. They're the positions we've had to defend — inside real organizations, in front of real boards, against real skeptics — and they've held up. If you disagree with most of them, we are probably not the right partner for you.

Belief 01

Tool-first is a trap.

Rolling out Copilot or Cursor to your engineers without changing the process underneath produces a 5–10% productivity delta at best. The compounding gains live in the SDLC itself, not in the IDE.

Belief 02

Big-bang transformations don't ship.

Any program that requires stopping the roadmap, freezing hiring, or re-orging before week one will collapse under its own political weight. We work in phases. Each one is independently valuable.

Belief 03

The spec is the real unit of work.

In an AI-First SDLC, the spec replaces the ticket as the primary artifact. Agents implement. Humans define, review, and decide. If your spec discipline is weak, no tooling will save you.

Belief 04

Evidence beats velocity.

Shipping faster is the wrong target. Shipping with proof — tests, types, traces, rollback plans — is the target. AI makes the first easy; only method makes the second routine.

Belief 05

Knowledge transfer is the deliverable.

If your team can't run the method without us after ninety days, we didn't do the work. Dependency is a failure mode, not a retention strategy.

Belief 06

Security has to be built in.

Agentic systems with prod access are a new threat surface. Guardrails, access controls, and audit trails belong in Phase 01 — not in a separate workstream someone gets to next quarter.

03 — What we're not

A short list, because the distinction matters.

Not  ·  01

A staff-augmentation firm.

We don't place engineers into your seats. We change how your existing seats work. If you need bodies, there are excellent firms for that — we're not one of them.

Not  ·  02

A strategy-deck shop.

We don't sell 80-page readiness assessments. Every engagement produces working process inside a real repository within the first few weeks.

Not  ·  03

A model lab.

We don't fine-tune LLMs or build custom foundation models. We re-wire the engineering organization around the frontier models you're already paying for.

Not  ·  04

A forever partner.

The engagement is ninety days, with a defined wind-down. If you want to keep us on a fractional retainer afterward, we'll talk — but we optimize for your independence, not our MRR.

04 — How we work

A practitioner's operating model.

01

Embedded, not adjacent.

We sit inside your standups, your repos, and your on-call. Fractional doesn't mean distant. The only way to re-wire the SDLC is to be in the SDLC.

02

Small and senior.

Every engagement is led by a former engineering executive. No pyramid. No junior offshoring. You get the operators you thought you were getting.

03

Outcomes in the contract.

We write measurable outcomes — PRs-per-cycle, spec coverage, incident rate, security posture — directly into the statement of work. If we miss them, we say so.

04

Your playbook, not ours.

Everything we build — conventions, quality profiles, agent context, evidence gates — lives in your repo under your license. You keep running it after we leave.

05

Roadmap never stops.

We don't freeze delivery to do transformation. The roadmap keeps shipping. The transformation happens on the same calendar as the work.

06

Security is Phase One.

Guardrails before workflows. Prod access rules before agent adoption. We don't ship anything into your org that we wouldn't sign off on as CTO ourselves.

Senior bench · US + LATAM

Senior operators across two geographies.

Senior engineers and product specialists in both the US and Latin America — primarily Mexico, where our delivery lead built the team we now draw from directly. Most engagements run blended: US operators leading strategy and senior architecture; LATAM engineers carrying implementation alongside them. Same seniority bar on both sides, at lower total cost than a US-only team.

Specialist partners

Brought in where the work demands it.

A vetted roster of senior specialists we pull in per engagement — former VPEs and CTOs, staff engineers with production AI experience, security leaders who've built AppSec programs at regulated companies. You meet them before they're on your engagement.

Built per engagement

Teams are designed, not defaulted.

No generic staffing pattern. After Assessment, the engagement design names the team — principal lead, bench composition, specialist partners — and the reasoning behind each choice. You sign off on the team before Implementation begins.

06 — Credentials

Posture you can hand to your board.

Security posture
SOC 2 aligned
Engineering-side controls modeled on live audit environments.
Framework
NIST CSF
Primary reference for agentic guardrails and prod access design.
Engagement model
Fractional · Embedded
Inside your standups, your repos, your on-call. Not adjacent.
Contracting
Outcomes in SOW
Measurable deliverables written directly into the statement of work.
07 — Talk to us

Principal to principal. Thirty minutes.

No discovery calls. No SDR routing. You get a principal on the phone. Tell us where the pressure is — a slipping roadmap, a board asking about AI, a modernization that keeps getting deferred. We'll tell you, honestly, whether this engagement helps. If not, who would.

Book a 30-min briefing → Or write directly: travis@lowgap.co