Trust is the thing that doesn't commoditize.
Founder-led applied AI practice
Applied AI outcomes that hold up
CMD+RVL builds narrow, working outcomes on live business problems — with a receipt back to source, so the result holds up long after the first answer leaves the chat window.
CMD+RVL exists to make applied AI work hold up after the first answer leaves the chat window.
Most organizations do not fail because they lack data. They fail because they cannot explain what they believed, when they believed it, and why they acted after conditions changed.
Assurance is the missing layer between an AI answer and a decision the business can defend.
Outcomes before platforms
The practice starts with a decision, not a platform. We define what the decision depends on, then maintain that record over time with evidence.
- Regulatory states that stayed current as filings changed
- Signals that stayed explainable after conditions moved
- Indicators that could be reconstructed from source evidence later
The first durable patterns came from structured finance, where fragmented filings became maintained state tracked continuously. The work held up because responsibility was explicit.
What we do now
Today, CMD+RVL helps teams produce working AI outcomes on live business problems.
A CMD+RVL outcome is a concrete result delivered with the receipt behind it, so the business can use it now and the team can inspect it later.
In practice, we help scope a narrow first result, stand it up on live work, keep the receipt attached, and decide what should transfer or expand over time.
Cairn is one front door for that work. It starts with a live question, source material, and clarification by email, then turns into a human-reviewed workshop, brief, workflow, or pilot.
Signals
Exploratory views for testing hypotheses, understanding timing, and deciding what should become a maintained outcome.
Receipts
Evidence records that preserve what was used, when it was used, what changed, and how the result can be checked.
Partnerships
Co-delivery paths for platforms, analytics providers, consulting firms, and advisory partners that need accountable AI workflows.
Signals, receipts, and partnerships are parts of one accountable outcome practice.
What we are not
CMD+RVL is not:
- Dashboard software
- Raw data resale
- Open-ended consulting
- Generic AI insight feeds
We do not sell access, opinions, or broad correctness promises. We deliver outcomes with receipts and stand behind the work required to keep those results checkable.
Why this matters now
As systems become faster and more automated, ambiguity becomes expensive. Alerts without memory, dashboards without receipts, and models without defensibility do not scale.
CMD+RVL is built for environments where decisions must hold up:
- under audit
- under automation
- under change
Maintained state and inspectable proof matter more than emitted events alone.
Why teams hire us
Teams bring us work when a result needs to be useful now and explainable later. The usual shape is a scoped business question, a source trail, and a decision about whether the result should keep running.
Some teams use CMD+RVL as fractional CTO data support for a narrow decision: clarify what data matters, preserve the evidence, and decide whether a workflow should transfer, expand, or stop.
That is the practice: working AI outcomes with evidence strong enough to survive the follow-up question.
Common questions
What does CMD+RVL do?
CMD+RVL builds narrow applied AI outcomes for regulated teams. Each outcome is scoped around a live business question and delivered with receipts so the result can be checked later.
Who is CMD+RVL for?
CMD+RVL is for finance, data, operations, and procurement teams that need AI-supported decisions to be useful now and explainable later.
How is CMD+RVL different from software or raw data access?
CMD+RVL does not sell broad software access or raw data feeds. The practice scopes a specific result, maintains the evidence behind it, and helps decide whether that outcome should transfer, expand, or stop.
Our team
Drew Bittenbender
Co-FounderTechnology executive with 25 years building data platforms and leading high-performance teams. Former CTO at Infinite Blue and VP Engineering at ColdLight (acquired by PTC for $105M). Holds a patent from Traffic.com (acquired by NAVTEQ for $179M).
Zac Ruiz
Co-FounderTechnology leader with 25+ years' experience, including a decade in securitization and capital markets. Former VP, Global Technology at DBRS, where he built transaction management systems and worked with quants across asset classes on data strategy.Bring one real business problem. We will help decide whether it should become an outcome.
Contact us