Knowledge We're going. Come say hi.

5× your sprint velocity. In-house.

Phyllis multiplies the throughput of the architects and developers you already have. CMA-grade discovery in hours, end-to-end builds staged in your own instance, Instance Scan attached to every dev task — and self-healed where Phyllis can. 5× the stories per sprint, ~50% less spend on the rote build.

What the platform team's day actually looks like

Your team is good. The tooling hasn't caught up to them.

Six weeks of discovery for a Catalog Item that should ship the same afternoon. Three tools open to keep the change request, the story, and the update set in sync. A backlog that grows every sprint, and a quarterly conversation about whether to stretch the SI envelope another quarter or wait for the next headcount cycle.

Your developers spend most of their day hand-wiring Flow Designer, copying Script Includes between dev and test, and rebuilding the same Business Rule patterns they shipped last quarter. Your senior architects spend theirs chasing the design rationale that never made it into the story, the dependency that surfaces on the second review, and the governance evidence that should have been attached before build started. The talent is there. The hours are not.

Phyllis closes that gap. Phyllis is a developer accelerant — running CMA-grade discovery, building the change end-to-end against your live instance, scanning the result, and writing the design document alongside the update set. Every story arrives at architect review with a CMA-grade design doc, an Instance Scan, and an ATF run already attached, so governance becomes a judgment on the architecture, not a hunt for evidence. The team you already have ships roughly five times the stories in the same week, at around half the spend.

What changes

Three things move at once.

01

From a sentence to a staged update set, in your own instance.

Describe the outcome in your own words — "stand up a warranty flow", "implement ITSM". Phyllis runs CMA-grade discovery against your live tables, scopes, and integrations, returns a sized plan with acceptance criteria, then builds the change end-to-end inside the instance. AI Agents, Flows, Catalog Items, Business Rules, ACLs — all wired together, scoped correctly, staged for your review.

02

Quality bar held automatically. Self-heal on your approval.

83 best-practice Instance Scan definitions ship in the box — across upgradeability, performance, security, user experience, and maintainability. Every dev task ends with a scan, and unlike the native engine Phyllis can self-heal: diagnose the finding, suggest the fix, and on your approval stage the remediation update set. What can't be auto-fixed becomes a sprint-ready story with severity, scope, and owner attached.

03

Free your partner engagement for the work that needs it.

The mechanical build — scoped rollouts, CMA-grade designs, staged update sets with Instance Scan attached (and ATF where it applies) — Phyllis stages for your in-house review. Partner hours redirect to strategy, transformation, and advisory work where senior consultants earn their fee. The capability stays in-house; the knowledge stays in-house with it.

You stay in charge

Governance-first by construction, not by policy memo.

Phyllis is built for platform teams that already have a CAB, a release manager, scope owners, and an audit team asking real questions. Nothing ships without approval. Every action is logged against the operator who triggered it. The instance stays yours, the trail stays yours, and the control stays in your hands.

Who it is for

Sized for the whole platform org.

Platform Owners

Five times the output from the team you already have — and SI engagement budget redirected to the strategic work that actually moves the platform forward.

Architects (CMA / CTA)

Every story arrives at your desk with a CMA-grade design document, Instance Scan findings, and ATF results already attached — every claim cited back to the record it came from. Governance becomes a judgment on the architecture, not a hunt for evidence, and the day is freed for the architecture calls only you can make.

Developers

Go from intent straight into a scoped update set — AI Agents, Flows, Script Includes, Business Rules, ACLs, Catalog Items — all wired together, scoped correctly, with the design doc and the test pack built alongside.

Business Analysts

Turn an intent into a CMA-grade plan against the live instance — sized stories, acceptance criteria, dependencies mapped, every claim cited back to the record it came from. Ask Phyllis about any table, flow, or scope in natural language and hand the answer to the team with citations attached.

Implement now.