Solutions · SUPERWISE® /council

AI systems your auditors already trust

Describe the system you need in plain English. /council designs the architecture, provisions the agents, and wires in guardrails, monitoring, and versioning inside your SUPERWISE tenant. Eleven advisors review it from first sketch to go-live.

Governance from day one

11

advisors on every system

4

frameworks audited on demand

5

go-live checks before every publish

Every

model call traced from day one

The governance gap

Make governance part of the build

Most enterprise AI stalls in the last mile. The model works, and nobody can prove the system is safe, compliant, and under control. /council makes governance a property of how the system is built.

Plain English to production

The four studios

Move from intent to a reviewed, documented, and published system without losing the record of how it changed.

Design: describe it.

Describe the system in conversation. The Council turns intent into an architecture blueprint, including the pattern, flows, and guardrails, for your approval.

Develop: refine it, reviewed.

Test with real questions while each advisor reviews its domain. Every change is a pinned version you can revert in one click.

Document: brief the board.

Create board-ready briefs in NIST AI RMF, Balanced Scorecard, McKinsey 7S, or Lean Canvas, as HTML, PDF, or Markdown.

Deploy: ship it, reviewed.

The Release Manager runs five readiness checks before you publish. The pinned version goes live at a stable URL behind your organization's sign-in.

Eleven advisors and one accountable owner

The Governance Council

Each advisor reviews one part of the system. You remain the final authority.

The Designer

Design rationaleTurns plain-English intent into an approvable blueprint.

The Architect

ArchitectureExplains the pattern and replays any run step by step.

The Guardrail Engineer

GuardrailsWrites and simulates guardrails from plain English.

The Model Strategist

Model strategyScores model fit, cost, and latency per agent.

The Prompt Engineer

Prompt architectureRewrites prompts and shows the token-cost change.

The Data Steward

Data stewardshipMaps which sources ground answers and where they are thin.

The Compliance Officer

ComplianceChecks your system against SOC 2, HIPAA, NIST AI RMF, and EU AI Act controls.

The Drift Monitor

Policy driftSorts thresholds into breaching, approaching, and comfortable.

The FinOps Analyst

FinOpsPrices every change and forecasts monthly spend.

The Documentarian

DocumentationCreates board-ready briefs in four business frameworks.

The Release Manager

Go-live readinessRuns five readiness checks before every publish.

You

Final authorityEvery change waits for your approval.

Built in from the first version

The control record starts with the system

Review, guardrails, versions, monitoring, and traceability are part of what /council creates.

Go-live review

The Release Manager runs five readiness checks before every publish, and keeps a go-live history of every version that was live.

Runtime guardrails

Input and output guardrails are versioned platform entities, enforced on every interaction.

Pinned versions

Every change pins each agent and guardrail, with a change log, authorship, and revert.

Drift detection

Changes since publish surface before they surprise you.

Monitoring policies

Latency, cost, token, and sentiment-drift policies are wired up when the system is generated.

Traceability

Every model call routes through SUPERWISE, so any answer can be reconstructed.

What it works with today

Clear limits for expert buyers

The current scope is specific, so your team knows what it can design, connect, and publish now.

Patterns

A single-task system, or a gateway that routes each request to one of 2 to 7 tasks.

Data

CSV upload, SUPERWISE datasets, and BigQuery in beta with up to eight tables. Documents can be PDF, DOCX, PPTX, TXT, or web pages.

Models

Anthropic, OpenAI, and Google, chosen per agent and routed through SUPERWISE.

Delivery

A published system is served at a /council URL for people in your organization who sign in.

/council in healthcare

Build the proof while you build the system

Healthcare AI is held back by proof more than by capability. When a payer, regulator, or patient asks what the system did, the answer has to exist already. /council builds that record as it builds the system.

Prior authorization

Risk: A wrongful delay or denial, and PHI leaving the boundary.

In place: A human approval guardrail before any submission, PHI redaction on outside calls, and a drift watch on stale payer policy.

Patient triage and intake

Risk: Unsafe advice or a missed escalation.

In place: Guardrails that stop dosing advice and force escalation on red-flag symptoms, step-by-step replay of any run, and one-click revert.

Documentation and coding integrity

Risk: Codes no one can explain later.

In place: No code suggestion without quoted evidence, a pinned version for every encounter, and drift detection on code patterns.

Bringing unsanctioned AI under governance

Risk: PHI in tools nobody inventoried.

In place: Each rescued workflow rebuilt in your tenant behind SSO, so the inventory builds itself.

Evidence on demand

Risk: An audit that turns into a fire drill.

In place: Compliance checks and board briefs drawn from traced, versioned systems.

Where it fits

An accelerator built on SUPERWISE AMP

/council builds on the SUPERWISE Agentic Management Platform. Everything it creates, including agents, guardrails, datasets, and policies, lives in your tenant and can be audited as a unit.

Enterprise posture

Controls around how the system is built and accessed

Meet the committee on your next AI system. Bring the workflow you need and the proof your team will have to show.

Products this puts to work

The SUPERWISE platform

/council builds on AMP, so the agents, guardrails, datasets, and policies it creates live together in your SUPERWISE tenant.

Services it accelerates

Agent build

For teams ready to turn one defined workflow into a tested agent in their environment.$35,000 to $75,000 pilot · $90,000 to $200,000 production

AI governance and controls

For teams that need policies, ownership, controls, and reporting that people can actually operate.$20,000 to $50,000

Data and systems discovery

For teams that need to know which workflows their data and systems can support before they build.$20,000 to $45,000

AI compliance readiness

For teams that need to find the gaps, organize evidence, and prepare for a formal assessment.$12,500 gap assessment to $75,000 full readiness

Learn

Is AI HIPAA compliant?

See where HIPAA applies to AI work and what evidence a healthcare team needs.

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