Aaron — this picks up from where Tuesday's call left off. The framing you used was so close to ours that we wrote this in a single sitting: "Mesh is the platform that allows for AI speed against compliance and regulated systems." That's the partnership. Mesh stays the governed substrate. Black Flag becomes the custom AI application, agentic workflow, and facilitation layer that turns it into shipped client outcomes. Everything else in this folder — One Pager, SOW, Security Posture — descends from this document.
Aaron, you said it almost word-for-word on Tuesday: "a firm that does what you do doesn't want to do what we do, and we can't do what you do because we're doing all of this." That's the thesis. Each side already does the thing the other doesn't want to do — and that's why this is clean, not why it's complicated.
Mesh is, in your own words, "the platform that allows for AI speed against compliance and regulated systems" — all the logging, all the connections to cores, payments, and partners, baked in. Jack Henry, Q2, Fiserv, Alchemy. The ecosystem is on lock. That stability is what gives an application layer like ours permission to move fast.
Black Flag's job is everything that sits above that line: facilitation, AI use-case shaping, custom application development, agentic workflow design with human-in-the-loop guardrails, demos that win procurement, and the slow grind of getting an FI's people to actually adopt the thing. We help partners go from vague idea → facilitated clarity → prototype → alpha launch → beta workflow → production-shaped custom AI application, using Mesh as the stable infrastructure underneath.
The Connecticut bank-analysis startup you mentioned is exactly the shape of client this is built for: real product to build, real banks already interested, real regulators paying attention — and a team that doesn't have the application + AI muscle to ship the front half. Mesh gets them connected. Black Flag builds the product.
Trabian owns the stable financial-services infrastructure. Black Flag owns the custom AI application and adoption layer on top. The two halves combine into one complete delivery motion for any bank, credit union, or fintech client.
Trabian's last twelve months are a roadmap of expanding ambition — and each milestone widens the surface area where Black Flag can plug in.
Per IBJ: "everyone was bespoke, custom-built." Twenty years of trusted FI software development.
Repurchased shares from MVB Bank. Free to define a platform-led future on its own terms.
Bought from Core10. Expanded into platform integration, data automation, analytics, embedded finance.
20+ years SaaS fintech. CPO of Mesh. Public vision: morph from integration platform → workflow management platform.
That third step is the one Aaron is publicly building toward. Mesh is already in production, already serving customers, already connecting cores. The remaining gap — the one a banker or a fintech CEO actually feels — is the application layer on top: the screens, the agents, the workflows, the human-in-the-loop copilots that make Mesh tangibly valuable. That's where we sit.
Frame the partnership as a shared services lane Trabian can sell, staff, and showcase. Black Flag operates as the embedded AI-application studio for Mesh, taking client ideas through a repeatable motion that respects Trabian's governance posture at every step.
Vague client idea becomes a defined workflow, agent policy, and risk register.
BFD prototypes the experience. Mesh defines available infra, data, and actions.
BFD builds. Mesh governs integration, security, platform fit. Synthetic data first.
Client tests usage. Successful patterns become repeatable Mesh-backed modules.
Each successful build becomes a candidate repeatable module — sold across the 200+ relationships Trabian already has, demoed to prospects evaluating Mesh, and used as evidence the platform actually ships application-layer outcomes.
Each is narrow, sandbox-safe, human-in-the-loop, and answers a question Trabian's clients are already asking — without anyone needing to define "iPaaS" first.
Banker workspace on Mesh. Customer summary, doc/data checklist, missing-info agent, RM next-step drafts. Read-only first; every action gated by human approval.
Echoes the Encore Bank brief — reduce days from first conversation to wired funds; automate sharing across CRM, core, and LOS with AI summarizing borrower context.
Triage queue, mismatch summaries, agent-recommended resolution, customer comm drafts, full audit log. Replaces a spreadsheet-and-Slack flow with a governed UI.
Facilitated product sprint → prototype → custom AI app layer → alpha workflow. The motion that took UCCU from 8% → 37% adoption in month one, made repeatable.
PayNearMe pattern. A fintech's bank-facing implementation wizard, configuration UI, AI-guided onboarding — riding Mesh's Jack Henry / Fiserv / CSI connectivity.
Relationship summaries, service-rep briefings, member timeline, opportunity and risk flags. Read-only. The kind of thing every CU service team would use daily.
Demo apps and sandbox journeys that make Mesh tangible to evaluating banks and fintechs. Infrastructure sells once buyers can see the apps it enables.
The partnership earns its way to autonomy. Phase 0 is alignment. Phase 1 stays in the sandbox. Phase 2 touches a real client with a design partner. Phase 3 is a productized studio.
Classify Aaron's "build": client implementation, Mesh roadmap feature, fintech deployment, repeatable module, internal demo, or broader exploration.
Synthetic data only. Use-case workshop. Workflow map. Prototype. Agent policy card. Risk/control map. Synthetic alpha. Mesh requirements list.
First real alpha/beta with a bank, fintech, or design partner. Custom AI app alpha → user testing → human-in-loop beta → reusable module assessment.
Mesh Application Studio. Use-case catalog, demo library, agent governance framework, implementation playbooks, partner enablement kits, commercial packaging.
Every custom AI application ships with an agent policy card: business purpose, user role, data sources, permitted/prohibited behaviors, allowed actions, actions requiring human approval, logging, failure modes, escalation path, retention model, success metrics. Early work lives at Levels 0–3.
A defined, low-risk, fixed-fee pilot. Synthetic data through day 60. A clear go/no-go on day 90 — beta scope and design partner identified, or a clean exit.
| Days | Phase | Deliverables |
|---|---|---|
| 1–10 | Alignment | NDA. Mesh orientation. First use case selected. Scope defined with Aaron. Engagement memo signed. |
| 10–30 | Facilitation & prototype | Workshop. Workflow map. Agent policy card. Clickable prototype. Risk register. Demo script Aaron can use internally and with prospects. |
| 30–60 | Synthetic-data alpha | Custom AI app on sandbox/synthetic data. Agentic workflow. Human review model. Full logging. Internal user feedback round. |
| 60–90 | Beta plan | Design partner identified from the 200+ FI base. Integration plan. Security/compliance checklist. Deployment + adoption path. Reusable module assessment. |
The intent: pick up where Tuesday's call left off, frame the partnership in Aaron's own vocabulary, name the clear division of labor, address Matt and Trey directly, and end with a small, concrete ask. Not a pitch — a continuation.
"Aaron, Matt, Trey — thanks for making the room for this. We left Tuesday's call with the same picture in our heads: Mesh is the platform that gives banks, credit unions, and fintechs AI speed against compliance and regulated systems. Black Flag is the application studio that turns that capacity into shipped, adopted software."
"Concretely, that means Eli and our team take the work the platform alone can't: facilitating a vague client ask into a clear workflow, designing the agent policy that lets a human stay in charge, prototyping fast, and getting a real alpha in front of an FI's people inside 60 days. Mesh stays the substrate. We're the layer that makes the substrate visible to the people who need to buy in."
"We're not competing with your integration work — we're helping your clients actually use it. The Connecticut bank-analysis lead is a perfect first proof. They've got the regulatory pull and the customer interest. They don't have the application-and-AI muscle to ship the front half. Together, we do."
"So one ask: what's the smallest real thing we could build together in the next 30 days that would tell all five of us whether this works?"
Every artifact in this folder reads from client-config.js and
brief.md. Edit those, everything re-renders. The four documents
below are the externally-facing surfaces.
Print-ready partnership brief. Hero, stats, capabilities, 90-day path, CTA. Forward to Matt, Trey, or anyone who needs the shape in 90 seconds.
Open →Pilot SOW scaffold. Editable scope, fees, and cadence — we'd shape the real one around the first joint client we land.
Open →Architecture + data-handling answers, pre-filled. Send only if procurement asks — don't lead with it.
Open →