Agentic OS for your enterprise.
Bring agents, tools and team knowledge together to get work done. Coordinate workflows, provide relevant context and appropriate access, and keep people in control of consequential decisions.
Why OrmisOne
What every agent needs, provided by one operating system.
Relevant context
Fewer hallucinations, better outcomes.
Appropriate access
Agents you can trust in production.
Coordinated work
Less turnaround, fewer tokens, no repeated work.
Operational visibility
You see what runs, what it reaches and what it spends.
Accountable decisions
A named person at consequential steps, on a tamper-evident trail.
Relevant context
Shared knowledge and relevant context, scoped to each team and task, so agents start from what the team already knows.
Appropriate access
Tools, credentials and guardrails, set once per team and inherited, narrowed per agent on each permission axis, never widened.
Coordinated work
Tasks, workflows and hand-offs between agents and people, run from one place and resumed where they paused.
Operational visibility
Visibility into connected agents, recorded actions and costs, per team, agent and workflow.
Accountable decisions
Consequential actions held for approval by a named person before they run, and every decision kept on a tamper-evident record.
Platform
A true agentic OS.
One connected model for org, teams and agents.
Backend · team
3 agents · inherits from Platform EngA team adds rules of its own and narrows per agent. A narrowing never overrides the organisation’s deny: the mandatory row stays in every agent’s effective set, whatever a child team sets.
Set once on a team, inherited by every agent and sub-team below, each item showing its source.
- Teams and ownership mirror your org chart.
- Four axes per team: guardrails, tools, knowledge, models.
- Organisation rules are mandatory; teams add, never remove.
Release · run #412
blocked · waiting on APR-2318$0.04 · $0.31 · $0.22 = $0.57 model spend so far · attributed to Backend › release-agent › release.
Rejected or expired → deployment blocked. The queued steps stay queued; the run resumes from the gate only on an approval.
Agents on workstations, in production or run by OrmisOne; workflows pause for a person and resume.
- Each run is on behalf of a person and a task.
- A human gate holds the run until a named person decides.
- Cost and duration per step, attributed to team, agent and workflow.
Backend · knowledge administrator view
4 available · 1 excludedRetrieval through configured permissions: an agent reaches only the sources its team may see. This is the administrator view, which lists the excluded source; an agent is never offered it.
Shared knowledge and relevant context, scoped to each team and task, not identical information for every agent.
- Sources inherit: the handbook from the organisation, runbooks from the parent team.
- Agents see only what their team may see.
- What a team may not see is withheld, however worded.
Tools reachable by Backend agents
Credentials shown are gateway access tokens, issued per request and valid 1 h; the upstream credential the gateway holds is unchanged by a request.
One door to tools and internal systems, with models on your own keys per team and step.
- Short-lived gateway tokens, issued per request and scoped to the action.
- Each tool carries its own scopes and its own action policy.
- Any approved provider on your keys, or your own inference.
- Tenants are separated at the data layer, not by convention.
release-agent wants to deploy search-api 1.8.2 to prod/eu-west
Month to date · model spend. Each entry is hash-linked inside its own chain.
Guardrails checked before execution, a named approver where it matters, and a tamper-evident trail with cost.
- An approval shows the why, what it touches and the agent's record.
- Approve, deny or ask the agent. The decision itself is recorded.
- Entries are hash-linked inside their own chain, so the trail is verified.
A workflow in action
One ticket, start to finish.
One fictional task, BE-1182, “login timeout”, through nine steps, each with its own context, guardrails, instruction and model, to the fix, two named approvals and the recorded cost.
- Ticket09:40
- triage10:18
- architect11:06
- ApprovalSam · 11:14
- build12:31
- qa13:26
- ApprovalSam · 13:58
- devops14:09
- Summary$1.34 · 14:20
Scroll the track sideways to see every step.
Model spend · $1.34 across six agents · 09:40 → 14:20 · four of the nine nodes ran no model at all.
Step 1 of 9
What to notice
Login timeout on identity-api in prod/eu-west
What the trigger carries
3 sources · nothing has runReproduce, narrow, ask
Reproduce, narrow, and ask the reporter exactly one question when the report is ambiguous.also: ask rather than guess.
Modelsmall model · 11 calls · $0.04 recorded
Recordthe question and the answer stay on the ticket
Comment added to BE-1182
Jira · 09:58One plan for BE-1182
Write one plan: smallest change that removes the cause, with a named rollback.also: a rollback for each part, and name the blast radius.
Modellarger model · 6 calls · $0.46 recorded · a different tier from triage, on the same task
Recordthe plan is attached to the ticket
Plan · three parts, a rollback each
needs a named approvalScope: one config value · one frontend change · one alert rule · no schema change, no data change. Blast radius: identity-api in prod/eu-west, 4 pods. Nothing starts here, a production change is routed to a named approver, so the plan goes to Sam.
architect-agent asks to proceed with the plan for BE-1182
What Sam saw
held 8 minutesidentity-api in prod/eu-west, 4 pods
Rollbackconfig value: restore the previous value, config reload, no deploy · frontend: revert the pull request, one deploy · alert: delete the rule
If rejectedback to planning (node 3). No implementation change is permitted until a revised plan is approved.
Two agents implement the approved plan
Implement the approved plan only; add tests; ask before widening scope.
Modellarger model for backend-agent · small model for frontend-agent · $0.47 recorded for the step
Two pull requests · source control
508 unit tests pass · 412 backend, 96 frontend11:15 → 12:31 · 508 unit tests pass in total. Neither pull request is merged by an agent, and the alert rule is not written here, it is part of the plan devops-agent completes at the deploy node.
Test the plan's acceptance criteria
Test the plan's acceptance criteria; report flakes, never fix them.
Modelsmall model · 9 calls · $0.22 recorded
Run against eu-west staging
437 pass · 0 fail · 1 flake quarantinedThis is the evidence that BE-1182 is actually resolved: on the same workload and the same artifact, sign-in success goes from 71% with 30 s timeouts to 99.8% at 0.1% errors and p95 0.90 s. The required suite is 437 integration and end-to-end tests at 0 failures, the one flake is quarantined and ticketed (BE-1190), not counted as a pass.
devops-agent asks to deploy 2.14.3 to prod/eu-west
What Sam saw
held 26 minutesShip 2.14.3 to prod/eu-west
Canary one pod first, roll the rest, roll back on any regression.
Modelsmall model · 7 calls · $0.15 recorded
Deploy · run #7741
approved 13:58 · healthy 14:09Verified on the same workload and the same artifact as QA: sign-in success 99.8% · error rate 0.1% · p95 0.90 s, against 71% success with 30 s timeouts before the change. The third part of the plan lands here too: the p95 alert rule, whose rollback is to delete the rule.
The run resumed at the deploy node, not from the start: everything before it stays recorded and nothing was re-run. Recorded as trail entries 2060–2063.
What the task cost, node by node
Model spend · BE-1182
Model spend · $1.34Four of the nine nodes ran no model at all, the ticket, Sam's two approvals and this summary, so they are listed as no model ran rather than as a zero. Every figure above is model spend recorded for this task, not a share of a monthly invoice.
Summary posted back to the ticket
Guardrails are rules enforced at the tool and model boundary: DENY, or REQUIRES APPROVAL by a named person. Access is what the agent may reach. Checks are the step's acceptance checks and what happens on failure. Instructions live in the prompt. Record is what the run writes.
Where you are
How AI adoption evolves.
OrmisOne joins your organisation at whatever stage it is at and takes it to Stage 4, autonomous operation. It governs, manages and observes the agentic workforce at every stage, including Stage 4.
Individual
Engineers run agents on their own workstations, each set up differently.
Team
One team shares prompts, tools and connectors.
Organisation
Several teams, or organisation-wide systems, roll out agents, with only parts of the problem solved.
Autonomous
Repeated work runs end to end as agent workflows, with a person at key steps.
Getting there on your own costs time, engineering bandwidth and tokens. Organisations start at different points; the path is the same.
Stage 1 → 2
Sharing one set of prompts, tools and connectors takes weeks of engineering time and repeated token spend. OrmisOne gives the team that set on day one.
Stage 2 → 3
Rolling out to many teams means access, context and cost per team, usually rebuilt for each. OrmisOne inherits them down the organisation tree.
Stage 3 → 4
Autonomous workflows need approvals, checks and a record at every consequential step. OrmisOne has them built in.
Pricing
Priced by how you run it, not by what you switch on.
Everything is included wherever you run it. The price follows how you run it, and your model spend stays on your own keys, at your provider's price, with no markup. Platform, infrastructure and model spend are always separate lines.
We run it for you. Your agents, keys and data stay yours.
- Bring your own model, or any approved provider
- Everything: teams, gateway, guardrails, approvals, knowledge, workflows, trail
- Start with one team; add teams as you go
OrmisOne in your cloud or on your own hardware.
- Egress limited to endpoints you name
- Inference on your own hardware supported, including on-premise
- Same as SaaS, nothing is held back by where you run it
Questions we get
The short answers.
Do you mark up model spend?
No. Inference runs on your keys through your router; it appears on your provider's bill, and we attribute it per team, agent and workflow.
Can we start with one team?
That's how every engagement starts: one team, in observation mode first; we walk you through it on the call.
What does a first engagement cost to run?
SaaS: hosting is included in the platform fee; model usage is billed separately by your provider. In your environment: the footprint runs on your own infrastructure bill, and we size it with you once we've seen the team.
SaaS or your environment: which first?
SaaS is the fastest to start. Your environment, your cloud or your own hardware, when data or network policy requires OrmisOne to stay with you. Where models run is a separate choice in every case.
Is anything priced per module?
No. Everything is included wherever you run it. The price follows how you run it, not what you switch on.
How do we get a figure?
After a walkthrough. The right setup depends on where your teams are, and we'd rather quote the setup you'll actually run.
Talk to us
See it on your own setup.
A 30-minute walkthrough on the agents your teams run today. Nothing to install.