> show me the receipts

Proof, not promises.

Three real engagements, clients anonymized. A rescued fintech rollout that turned into a reference, a nine-for-nine on-time launch record built over five years across 700K+ accountholders, and AI adoption that outlasted the hype. Challenge, approach, and the number that mattered.

// case studies

What it looks like
when it works.

Client names are redacted; the outcomes are not. Every engagement here maps to a real institution, a real timeline, and a real result I can point to. And where the numbers are public, they are checkable: these institutions file quarterly with the NCUA, the FDIC, and the SEC. Go look.

Deep dive · my own system

Listening to the data.

A one-line complaint about a 33-program generative audio system disagreed with every measurement I had. The diagnosis, the two expensive theories that died first, and the three mistakes the gates caught in my own work.

Read the case study →
CASE 01

The rescue that became a reference.

Fiserv · escalated implementation · tech lead · client redacted
// Challenge

A high-profile implementation at Fiserv, the global payments and fintech platform, had gone red. Deadlines were slipping, trust between the client and delivery team had eroded, and the account was firmly in escalation territory. It was the kind of project people quietly hope gets reassigned to someone else. I raised my hand and took full ownership of it instead.

// Approach

I treated it as a collaboration problem, not just a project-plan problem. I assembled the right team, cleared the blockers no one had been empowered to clear, and re-established a single, honest source of truth on status. I was also the tech lead on this one, not just the delivery owner: I worked the fixes directly with engineering, owned the integration and sequencing calls, and made sure the technical plan and the client plan were the same plan. Instead of managing the client at arm's length, I brought them inside the work: transparent tradeoffs, realistic dates, and a visible plan they could trust. The escalation energy got redirected into shared momentum.

Red → On-time
at-risk to delivered
// Outcome

The project went from at-risk to delivered on time, and the relationship went from adversarial to genuinely warm. The client I inherited mid-escalation became a happy reference willing to recommend me by name afterward. The rescue didn't just save the account, it created an advocate.

CASE 02

Nine launches, zero missed dates.

cloud-native digital banking platform · 9 credit unions · $250M-$3.4B in assets · 17K-194K accountholders each
// Challenge

Digital banking implementations for credit unions ranging from $250M to $3.4B in assets and 17K to 194K accountholders, each a 7-10 month, end-to-end build with a launch date that could not slip. Every rollout spanned product, dev, SRE, support, training, sales, and finance, plus third-party vendor and partner integrations, and the company had staked an operational OKR on shipping these to production on time.

// Approach

I owned the full SDLC across each implementation, running an Agile and hybrid-Waterfall blend sized to the reality of a regulated launch. That meant real cross-functional orchestration: keeping seven internal functions and external partners moving in lockstep, surfacing risk early instead of at go-live, and holding one coherent plan everyone could execute against. Not all of them were greenfield either: at one institution I carried a core conversion and a card conversion alongside the digital launch, which is three migrations of live member money running against a single immovable date. The delivery engine was the differentiator, and I was the person running it.

9 / 9
on-time launches
700K+
accountholders
// Outcome

A 100% on-time launch record across nine implementations in the last five years, every one shipped to production on its committed date, for institutions serving more than 700,000 accountholders between them (709,846 members, per their Q1 2026 NCUA call reports). That track record was the delivery muscle behind the company's on-time-to-production OKR, turning a stated goal into a repeatable, provable outcome rather than a best-effort aspiration.

CASE 03

Teaching a team to actually use AI.

company-wide AI Adoption Council · AI Champion
// Challenge

AI enthusiasm at the top rarely survives contact with a busy team. As a founding member (and the only woman) of a company-wide AI Adoption Council and my team's designated AI Champion, I had a mandate to make adoption real, not to run another pilot that quietly died. The hard part was never the technology; it was the skeptics, the change fatigue, and the fear of AI tech debt nobody would maintain.

// Approach

I built Claude-powered automations that removed the grunt work: status reporting, Google Drive workflows, daily email digests, and Slack updates that erased hours of weekly PM admin. Then I taught the humans, prompt engineering, practical dos and don'ts, and the change management that walks a skeptic to daily use. I was adamant about responsible AI: everything I shipped was owned and maintained, not abandoned as unmaintained scripts and garbage docs. I also founded "Claudette-Code," a women-in-AI community, to keep the momentum social.

Hours/wk
admin eliminated
// Outcome

Skeptics became daily users, and hours of weekly PM admin disappeared for good. Because the automations were maintained rather than dumped, the gains stuck instead of decaying into the tech debt most "AI rollouts" leave behind. Adoption that lasts beats adoption that demos well.

// build log

Shipped, dated,
and on the record.

A dated ledger of systems I've shipped - newest first, receipts linked where the code is public. The recurring theme: each one enforces its own claims instead of asking you to trust them.

  • 2026-07-20
    design-tokens

    A dark-first design system whose accessibility claims are enforced rather than asserted: a contrast contract plus a stdlib checker in CI that fails the build the moment any shipped color pair drops below the WCAG level it promised.

    elliottstorms/design-tokens →
  • 2026-07-20
    shell-fieldkit

    Five dependency-free shell libraries for the jobs that run when nobody is watching. Each one is the second version, written after the first failed quietly, with the original failure documented next to the fix.

    elliottstorms/shell-fieldkit →
  • 2026-07-20
    Provenance manifest

    A public tree-hash manifest that binds private source trees to public timestamps, published in the operator toolkit.

    elliottstorms/moonops-toolkit →
  • 2026-07-19
    gitscore loop

    An autonomous weekly loop that tends my public GitHub profile: it re-implements a public grading rubric as a local scorer, picks the highest-leverage improvement, ships it through the same PII and brand gates as everything else, then re-measures and writes every change to a ledger. The score moved from 69 to 217 on day one; the standing rule is that the score stays a byproduct of real work.

    elliottstorms →
  • 2026-07-17
    PII kit

    A deterministic, checksum-validating scanner with fail-closed gates on the tool-call and commit paths, two adversarial review agents, and CI that proves the gate still catches on every push.

    elliottstorms/moonops-toolkit →
  • 2026-07-16
    First-party visitor counter

    Two edge functions that keep analytics honest and entirely first-party: no cookies, no IP addresses, referrers cut to hostname, a UTM allowlist, and a fail-open contract so analytics can never break a page.

  • 2026-07-14
    One-screen operations snapshot

    A deterministic stdlib script that reads every workstream from files on disk and renders health and a next action per lane in about one second, with zero network calls.

  • 2026-07-11
    Self-healing skill library

    End-of-session digests distilled into evidence-cited improvements: 60+ digests and 17 ledgered runs so far, with risky changes proposed for human review instead of silently applied.

  • 2026-07-07
    Dispatch handoff system

    One session hands locked decisions and unfinished work to a future session as a paste-ready spec; the executing side verifies outcomes and logs every external effect.

    elliottstorms/moonops-toolkit →
  • 2026-07-06
    Eight-agent governance cabinet

    Chartered over a live content operation: one member, one vote, ties escalate to the human, and the design lead holds a real veto, which turned quality from a preference into a gate.

    See the architecture →
// let's build something

Want a track record
like this on your team?

Whether it's a launch that can't slip, a rollout that stalled, or a team that needs to actually use the AI it's paying for - I'm happy to talk about how I'd approach it.

Elliott Storms