CEEZ AI lets you build teams of AI agents that do real work across your business, keeps a tamper-proof record of everything they do — and, unlike ordinary software, they learn from every task and get better every week. Every lesson is visible and reversible. Runs on any AI model, in your own systems or fully offline.
Live sandbox · no signup · pre-loaded with agent teams & a governed decision trail

The experiment phase is over. The next wave won't be won by whose model is smartest — but by whose agents can be governed, proven, and trusted to run the business. That is the only thing CEEZ AI was built to do.
Built for regulated teams across
Install a ready-made agent team, or build your own in the visual studio — then connect your data.
Ask in plain language — get answers with charts and a confidence score — set a goal, or let it run on a schedule. Agents do the work and hand you the exceptions.
Every action is sealed to a tamper-proof trail, kept inside your guardrails, and stoppable in one click.
The people who run the work, the people who run the systems, and the people who have to sign off on it.
Put repeatable work on autopilot — no code. Point, click, and see exactly what your agents did.
Run it on your terms — any model, your infrastructure, versioned and testable like real software.
Finally sign off on AI. A tamper-proof record and enforced controls you can actually prove.
Everything you need to set up AI agents, put them to work, keep them in bounds, and show exactly what they did — whether you run the business, IT, or compliance.
Set up your AI team — no PhD required.
Create agents, teams and rules in a visual studio. Every change is saved with full history you can roll back.
Agent Studio · versioned artifacts
Lay out agents, teams and approval gates on one governed map — the compiler lints it for cycles and broken references, and you can replay a real run over the same topology. Or just describe a task in plain language and let the Composer build the workflow.
Visual Builder + Workflow Composer
Prefer files and pull-requests? Define your agents in a text file and preview every change before it goes live.
Agents-as-Code (ceez.yaml)
Start from a pre-built team for your industry and customize — instead of a blank page.
Solution packs
Connect your documents and data so agents answer from your business, not the open internet.
Memory + knowledge base (RAG)
Put agents to work — with you, or on their own.
A manager agent hands work to specialist agents and pulls the answers together — like a real team.
Multi-agent coordination
Type a question in plain language and it routes to the right agent automatically. Answers come back with charts drawn inline and a confidence score — and follow-ups remember the conversation, so you can drill in.
Auto-routing · inline charts · confidence + trail
When an answer nails it, turn the request into a reusable, parameterized skill in one click — then re-run it any time with new inputs. Every skill run is governed and sealed like the rest.
One-click skill authoring + direct invoke
Give it an objective and it keeps working — step by step — until the goal is done.
Agentic /goal loop
For the questions that matter, an agent or team works a case across several rounds — gathering evidence and sharpening its theory — and only closes when the answer holds up against that evidence.
Multi-round verified investigation loop
Agents that run a queue, chase a standing goal, or send you a daily digest — no prompt needed.
Autonomous workforce
Kick off work every morning, or the moment something happens in another system.
Cron / webhook / event triggers
Agents answer questions from your databases by writing the query for you — safely — and hand back a chart or dashboard, not just rows of numbers.
Text-to-SQL · charts + dashboards · governed
Turn any analysis into a polished PDF report, slide deck, or spreadsheet — then email or Slack it out.
PDF / PPTX / XLSX + 35 built-in tools
Real limits that actually stop bad actions.
Automatically catch prompt attacks, personal data and secrets — and test a rule change against your history before turning it on.
Guardrails + shadow simulation
Freeze every automated agent instantly, and cap how much they can spend or do per day.
Blast-radius governor + kill-switch
An agent can act for a person only while that permission is on. Turn it off and the agent stops that second.
Enforced OBO delegation
Require a second approver on risky actions — and the person who started it can never approve their own.
Dual-control approvals
Decide exactly who sees and uses each agent, team and data source — down to the individual.
Roles + per-resource access (RBAC/ReBAC)
Log in with your company identity, auto-provision users, keep every customer's data separate.
SSO (OIDC) + SCIM · multi-tenant
Show exactly what happened — and prove it.
Every decision is saved in a tamper-proof log — what the agent saw, what it did, and what it cost.
Hash-chained decision ledger
Before an answer goes out, every name, ID and figure it cites is checked against the real data the agent pulled — anything invented is caught, and each answer carries a confidence score you can trust at a glance.
Deterministic grounding check + confidence
Replay any task as a clear timeline: what ran, which rules applied, the cost, and the exact version used.
Decision-native trace
Before a rule change goes live, we replay it against past problems to be sure it won't let something slip through.
Counterfactual publish gate
See where data came from, what each run cost, and whether quality is holding up over time.
Lineage + cost + eval gates
The workforce that gets better every week — and you can undo any lesson.
When a task fails, the agent writes itself a short lesson and applies it next time — so the same mistake stops repeating.
Reflexion memory
Great answers are saved and reused as examples for similar requests, so quality gets more consistent over time.
Dynamic few-shot exemplars
After a multi-step success it drafts a step-by-step procedure. You review and trust it before it's used — nothing risky is automatic.
Trust-gated skill library
Before a high-stakes action goes out, a stronger reviewer AI double-checks and fixes it — catching mistakes and made-up data.
Inference-time verify + refine
Turn accumulated lessons into better instructions, kept only when it beats the previous version on a test set.
Eval-gated prompt optimizer
When you're ready, distill an agent's proven runs into your own fine-tuned model — with full data lineage.
LoRA fine-tuning control plane
You don't have to rebuild. CEEZ AI sits above your existing agents and models as the governance, proof and control layer — so fragmented, home-grown and third-party agents finally run under one auditable roof.
Install a ready-made team of agents, browse the catalog, and connect your systems — then tailor it to exactly how you work.
Track store performance and send daily KPI digests across every location.
Prevent stockouts, rank supplier risk, and cut perishable waste.
Reconcile transactions, chase overdue invoices, and flag anomalies.
Sort tickets, draft safe replies, and escalate the tricky ones.
Enrich alerts, run the incident checklist, and write the post-mortem.
Screen applicants against your rubric with a reviewable, auditable result.
Same governed platform. Your domain sets the prompts, policies and data. Real examples teams run today:
“Reconcile yesterday's transactions, flag mismatches over $5k, and stage a dual-control approval.”
“Find the 3 stores most at risk of stockout this week and propose reorder quantities.”
“Triage prior-auth requests, gather the missing evidence, and route edge cases to a nurse.”
“Classify the ticket, draft a policy-safe reply, and escalate anything touching refunds.”
“On a new PagerDuty webhook, enrich the incident and run the sev-1 checklist.”
“Screen inbound applicants against the role rubric and summarize the top five with evidence.”
Real screens from the product — then jump into the live demo and try it yourself.
Every action an agent takes flows through the same path — and the whole path is sealed into a tamper-proof record you can replay.
The agent plans its next move against the goal, its tools, and the guardrails in force — the reasoning is captured, never hidden.
Five load-bearing systems the platform is built on — the reason CEEZ AI can prove what other tools only log.
Every decision hash-chained into an append-only log — inputs, versions, cost and guardrail verdicts. Change one link and the chain breaks.
A live cap on what agents can do and spend per day, with a one-click kill-switch that freezes every autonomous run instantly.
A deterministic check that every identifier and figure an answer cites appears verbatim in the data the agent pulled — invented facts never leave the building.
Agents, teams, tools and policies are versioned like code — every change an immutable row you can diff, replay, and roll back.
Define your whole workforce in a text file, preview every change as a diff, and ship it through the same governed path as the UI.
Coordinate specialists with named patterns — supervisor, fan-out, sequential and handoff — each replayable over the same governed topology.
Most tools just record what an AI did. CEEZ AI lets you prove — in a record no one can quietly change — that every action was allowed, followed the rules, stayed on budget, and can be undone.
Every decision is saved in a tamper-proof log — what the agent saw, did, and what it cost. Nothing can be quietly edited or deleted.
An agent can act for a person only while that permission is switched on. Turn it off and the agent stops immediately.
Require a second person to approve a risky action — and whoever started it can never approve their own.
Pause every automated agent instantly, set daily spend and activity limits, and stop work that's already running.
If a new rule would let past problems slip through, we block it before it can go live.
Agents get more freedom as they prove reliable — and are automatically reined in if quality drops.
Code frameworks hand you open building blocks — but you build the governance yourself. All-in-one suites bring the governance — but lock you into one vendor's models and cloud. CEEZ AI is built to give you both: governed by default, and open by design.
The controls a code framework would make you build — already here, and enforced.
The freedom an all-in-one suite takes away — kept firmly yours.
Every capability above is built into the platform — not bolted on with add-ons, and not locked behind a single vendor.
Every morning the Supply & Fresh team drains a queue of overnight exceptions: it ranks the stores most at risk of stockout, drafts reorder quantities, and flags the three riskiest suppliers. Anything over the spend limit is staged for a two-person sign-off; everything else runs on its own — and every step is sealed to a trail the finance team can replay.
When a policy needed to change, the team replayed it against past incidents first — and the system blocked the change until it was proven not to miss anything.
A rough estimate of the time agents could take off your team's plate. Move the sliders.
Assumes agents take on ~65% of repetitive work — the rest still comes to a human, on a sealed trail.
Illustrative estimate, not a guarantee — your mileage depends on the work.
Explore everything in a live sandbox today. Move to a private workspace when you go to production.
Explore the full platform in a shared live demo.
A private workspace for your team, in production.
Sovereignty, single sign-on, and scale.
Every plan includes the tamper-proof decision trail and enforced guardrails. Your keys and your data always stay yours.
For the first time our risk team could sign off on an AI system — because they could see and prove every single action it took.
We replaced a pile of brittle scripts with a team of agents that runs overnight and only escalates the things that actually need a human.
The emergency stop and two-person sign-off were non-negotiable for us. This was the only platform that had actually shipped them.
Any. Bring your own OpenAI, Anthropic or NVIDIA keys, or run a private local model on your own hardware. You're never locked into one provider.
No. Your keys and data stay in your own infrastructure. CEEZ AI is a control plane that orchestrates and governs — not a place your data gets sent to.
Yes. It can run fully disconnected from the internet with enforced controls, for teams that need maximum security or data sovereignty.
A chat assistant helps one person at a time. CEEZ AI builds teams of agents that do real work across your systems on their own — and proves every action with a tamper-proof trail your auditors can replay.
No. Build and manage agents in a visual studio. Technical teams can also define everything as code (ceez.yaml) and ship changes through pull requests if they prefer.
Enforced guardrails, fine-grained access, enterprise sign-on, two-person sign-off and a tamper-proof audit trail are built in. See the Security page for details. (SOC 2 is in progress.)
Explore the whole platform free in the live demo. Private workspaces and enterprise plans are in the Pricing section above — or talk to us for sovereign and air-gapped deployments.
Still curious? Talk to us →
CEEZ AI works across all your systems — Salesforce, ServiceNow, SAP — instead of locking you into one. Run it on any AI model, in your own cloud or completely offline. Your keys and your data never leave your control.
Spin up a demo tenant in minutes — pre-loaded with agent teams, connectors and a governed decision trail. No credit card. Your agents, your data, your keys.