All metrics from internal prototyping.
You already have the trust, the contracts, and the domain expertise. Catalyst gives your delivery teams a governed execution engine that turns compliance requirements into auditable outputs — faster than manual processes, with less delivery risk.
The agency has specific compliance requirements. Your team has the expertise to meet them. But the tooling between those two points hasn't changed in a decade.
463 of 1,881 IT management recommendations remain unimplemented. Federal IT acquisitions stay on the High Risk List.
GAO-25-107852 · Jan 2025Officials at 3 of 7 audited agencies reported manually correcting FISMA compliance data 100% of the time.
GAO-25-107470 · Jun 2025Only 8 of 23 federal agencies had effective information security programs under FISMA review.
GAO-24-105658 · 2024The federal government spends $100B+ annually on IT. The majority goes to maintaining legacy systems, some decades old.
GAO-25-107795 · Feb 2025Your teams spend more hours assembling NIST 800-53 control satisfaction evidence than doing the analysis it's supposed to document. Screenshots, spreadsheets, manually cross-referenced control mappings.
Treasury data comes in fifteen formats. TAS/BETC mismatches cascade into intragovernmental (IGT) reconciliation failures. Your analysts normalize by hand, and every handoff introduces variance that takes weeks to trace.
Authorization packages get assembled once, go stale immediately, and nobody maintains them until the next assessment. The industry is moving toward continuous ATO (cATO), but most teams are still stuck in 3-year cycles with paper-only ConMon.
Your program managers spend more time triaging, re-prioritizing, and status-updating than actually managing the program. The backlog lives in one tool, the IMS in another, and the two drift apart the moment the sprint starts.
Catalyst doesn't replace your team or your methodology. It gives your consultants an engine that handles the delivery mechanics so they can focus on the advisory work that agencies actually value.
CSVs, API feeds, ERP exports, system configurations — Catalyst normalizes to a canonical schema. Your team stops mapping spreadsheets and starts analyzing results.
Deterministic validation runs before any AI touches the data. When AI is used, it's constrained by policy, scored for confidence, and logged. Every output is explainable.
Reconciliation reports, audit evidence packages, structured findings with full chain of custody — deliverables that close engagements.
Scored prioritization, dependency mapping, and automatic translation to the client's Integrated Master Schedule. Your PMs stop maintaining two tracking systems. Catalyst keeps the backlog and the IMS in sync as cycles close.
When the team hits an unknown — a data format question, a compliance interpretation, an integration constraint — Catalyst runs a structured research spike. Scoped. Time-boxed. Findings document with recommendations. No three-day email thread.
Catalyst isn't a monitoring layer bolted onto your existing tools. It's the delivery engine underneath them. It connects to the client's backlog, analyzes and sequences work by scored prioritization, translates IDEA cycles into milestones on their Integrated Master Schedule, and then executes — ingesting data, running research spikes, validating outputs, and burning down scope. Your team focuses on advisory. Catalyst handles the mechanics.
Catalyst connects to the client's backlog, scores every item by business value, risk, and time criticality, and sequences work into governed IDEA cycles that map directly to their Integrated Master Schedule. Your program managers stop manually triaging boards and start making strategic decisions with ranked, scored, and dependency-mapped work queues. When priorities shift — and they always shift — Catalyst re-sequences automatically and shows the IMS impact before anyone commits.
Your developers are already building with AI. Catalyst wraps that development in governed cycles — it recommends work from a prioritized backlog, gets approval before proceeding, identifies and mitigates risks, validates at every gate, and closes with a cycle report. When an estimate misses, it captures why — tunnel setup overhead, port conflicts, scope changes — so the next estimate is better. These cycles take minutes, not weeks. The backlog burns down. The evidence generates itself.
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When your engagement transitions to operations, Catalyst shifts from build mode to monitoring mode. The same engine that burned down the backlog now tracks every gate transition, session token, and governance check. Leadership sees real system state — not a quarterly slide deck.
Most compliance programs produce a stack of documents that go stale the day after the assessor signs off. Catalyst ConMon treats compliance as persistent state — controls are mapped, evidence is generated from live system activity, and drift is detected before the next assessment, not during it.
Catalyst doesn't just govern the development — it validates it. Every governed cycle generates tests, runs them, and logs the results. Test creation isn't an afterthought bolted on at sprint end. It's embedded in the acceptance criteria of every MCI, enforced at the gate, and archived as evidence. The coverage isn't aspirational — it's measured, tracked, and provable from the test infrastructure.
Unit, integration, acceptance, e2e, smoke, contract, regression, and security tests across 1,800+ test files spanning every service, the CLI, and the desktop app.
Coverage is generated per cycle and tracked alongside governance health. Threshold enforcement is active at the baseline level with incremental targets set per wave.
Documented acceptance test suites (AT-SCR-1 through AT-SCR-6) with 20 golden test records covering scoring determinism, threshold validation, bias detection, and edge cases.
Every engagement runs on the IDEA Cycle — a governed execution methodology that captures what worked, what didn't, and what changed. The second engagement is faster than the first. The tenth is categorically different.
Define the objective, pull scope from backlog, establish measurable success criteria.
Decompose into verifiable increments. Map architecture to controls. Hard validation checkpoint.
Execute against acceptance criteria with checkpoint logging. Catalyst handles compliance. Your team handles judgment.
Measure forecast accuracy, capture estimation insights, produce the cycle report. Every cycle feeds the next.
We're building relationships with firms that have the agency trust and the domain expertise to deliver. The commercial details come after the first conversation — not before.
Embed Catalyst in your federal delivery practice. Your consultants use the platform to manage backlogs, sequence work against the client's IMS, run governed implementation cycles, and generate compliance evidence — all from a single engine. You deliver the engagement. Catalyst delivers the throughput.
Connect your platform to Catalyst's ingestion, validation, and output pipeline. ERP systems, cloud providers, GRC tools — if your product generates data that needs compliance validation, there's an integration path.
Use Catalyst outputs as evidence in your compliance assessments. 3PAO evaluations, SOX audit prep, FedRAMP readiness reviews — the platform generates the artifacts your assessors need to validate.
You find the opportunity, we bring the delivery engine. Small business teaming, SDVOSB set-aside primes, mentor-protégé arrangements — if you have the relationship and need execution capacity, let's talk.
We'll walk through the platform, map it to a current or upcoming engagement, and show you what the outputs look like with your agency's compliance framework applied.
Schedule a Partner Briefing