Find the leverage point
Choose the repeated business process where an operator can save time, create output, or reduce manual follow-up.
AI operating system for growing teams
Build a self-improving company with AI.
Crewari helps you turn real business processes into private AI operators: deployed, connected, measured, and improved until AI becomes operating capacity inside the company.
private runtime improve every cycle spend guardrails
The self-improving company loop
AI transformation becomes practical when every agent owns one workflow.
The goal is not to add another tool. The goal is to create an operating loop where work gets delegated, measured, refined, and reused across the company.
Deploy the private agent
Crewari provisions the Hermes pod, runtime configuration, channel access, usage controls, and billing context.
Operate with the team
The agent works through the connected channel while people stay in control of instructions, approvals, and scope.
Improve the workflow
Use real usage and operational feedback to refine the agent, then replicate the pattern across the next process.
Why the decision is easier
Start with one workflow, then build the AI operating layer around it.
The first operator gives leaders a concrete AI transformation step: one live use case, one accountable owner, and visible controls.
Runtime per business process
Dedicated pod, isolated secrets, controlled ingress, and SSM-managed operations.
Human-approved operator access
Telegram setup verifies the user and keeps replies limited to the intended operator.
Continuous improvement loop
Every pod starts as one workflow, then improves through usage, feedback, and tighter instructions.
Commercial controls
Annual EUR slot pricing, monthly AI usage volume, tagged resources, and removable pods.
Rollout plans
Start narrow. Prove value. Scale the operator pattern.
Annual plans cover the managed runtime. AI model usage is tracked separately, checked against the plan volume, and billed with the same customer context at month end.
Pilot
€199.00/mo2388 EUR/yr, 20% annual saving.
A focused first operator for one workflow with guided setup and clear commercial limits.
- Best for
- One team validating a high-value workflow
- Onboarding
- Guided workflow selection, pod setup, Telegram connection, and first review
- Users
- Up to 3 users included
- Support
- Email setup support
- Commercials
- No setup fee, annual plan, AI usage tracked separately
- 1 private AI operator for one workflow
- Guided onboarding and first workflow scoping
- Telegram channel setup guidance
- Controlled access for the assigned users
Business
€399.00/mo4788 EUR/yr, 20% annual saving.
The recommended rollout plan for a production workflow and a team that will use the operator regularly.
- Best for
- Operations, leadership, and growing departments
- Onboarding
- Priority workflow design, operator configuration, channel setup, and adoption support
- Users
- Up to 10 users included
- Support
- Priority setup support
- Commercials
- No setup fee, annual plan, higher AI usage budget
- 1 dedicated private AI operator
- Priority onboarding and operator configuration
- Telegram setup support
- Team access setup for up to 10 users
Business Plus
Please contact sales.Custom package for team size, rollout scope, and AI usage.
For companies that want to roll out multiple operators, custom onboarding, and higher support coverage.
- Best for
- Multiple teams, business units, or custom deployments
- Onboarding
- Workflow portfolio, rollout planning, enablement, and priority implementation
- Users
- Custom user package
- Support
- Priority onboarding and support
- Commercials
- Custom commercial package and AI usage budget
- Custom private AI operator capacity
- Priority onboarding and rollout planning
- Telegram setup and team enablement support
- Custom user and access package
Recommended first move
Pick one business process and turn it into a private AI operator.
We set up the customer workspace manually, then your team launches the pod, connects the channel, and starts improving the workflow.
Decision contrast
The real comparison is compounding operating capacity vs. another AI experiment.
Crewari packages the runtime, access, billing, and operator setup so the discussion can move from infrastructure to business value.
Typical AI project
Slides, workshops, scattered prompts, and no owned runtime that does the work every day.
Crewari rollout
Pick a process, deploy a private operator, connect the channel, measure usage, improve the workflow.
Business effect
The company starts building reusable AI operating capacity instead of isolated experiments.
Implementation path
From process selection to first operator without handing teams a blank cloud account.
1
Choose the first workflow
Start with one process where speed, output quality, or response time clearly matters.
2
Manual account setup
We enable the customer workspace and billing configuration before access is handed over.
3
Launch the agent
Hermes launches an isolated runtime in AWS when your workspace is ready.
4
Improve the loop
Connect the channel, operate with the team, and refine the agent based on real usage.
What the platform handles
The operational details that usually keep AI agents stuck in prototype mode.
Deploy the operator
We prepare a private Hermes runtime so the first agent can be assigned to one concrete business process.
Connect real work
Telegram, browser chat, dashboard controls, and model routing turn the pod into a usable operating channel.
Learn from execution
Usage, runtime state, limits, and customer context stay visible so you can improve the workflow over time.
Keep spend controlled
Plan boundaries, monthly AI volume, removable pods, and billing context keep the rollout commercially sane.
Separate customer resources
Each pod has isolated credentials, lifecycle, network controls, and the tags needed to understand ownership.
Scale the pattern
Start with one process, prove value, then repeat the operator pattern across teams and workflows.
Built for controlled adoption
Enough structure for leaders, enough access for teams that run the work.
Low-risk start
No setup fee, clear annual pricing, monthly AI usage limits, and remove controls keep the first decision simple.
Clear comparison
Pilot, Business, and Business Plus plans make the next step obvious without a custom sales call.
Security first
Pods are isolated from platform resources and only receive the runtime configuration they need.
Visible limits
Monthly AI volumes reduce surprise spend before it becomes a problem.
Own your channel
You connect your own Telegram bot and Hermes whitelists the verified user behind it.
Limited operator capacity
New pod capacity is controlled so every active customer has room for reliable provisioning.
Who it is for
Teams that want deployed AI operators, not another slide deck.
Founders
Turn one repeated workflow into a live AI operator before building an internal platform team.
Operations leaders
Move follow-ups, research, status checks, and recurring work into a managed agent channel.
Team leads
Give people a controlled AI operator they can actually use inside their business process.
Agencies
Run client-specific agents with separate runtime, access, and billing context.
What to expect
Clear answers before you request access.
What does self-improving mean here?
It means each AI operator is attached to a real process, operated by the team, measured through usage, and refined over time.
How long does pod creation take?
Most pods are ready in about 3-5 minutes after billing is active.
What do I pay today?
You choose annual or monthly pod billing first. Annual is promoted because it is materially cheaper. AI model usage is tracked separately and invoiced at month end.
Can I stop or remove a pod?
Yes. The console includes start, stop, and remove controls so you can manage spend.
What happens after I request access?
We review the request, create the customer workspace manually, and contact you with the next step.
Ready when you are