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Akaitto operations dashboard showing production AI workflow monitoring
Digital Coworker operations platform

Configure, build, deploy, monitor, and improve every agent from one control plane.

No spam. We'll use this to prepare your Akaitto demo.

Everything you need to run Digital Coworkers in production.

01 · Configure

Connect your stack. Set the boundaries.

Bring data, tools, models, providers, and keys into one governed workspace. Decide what every agent can access before it runs.

  • Data sources
  • Tools
  • Models
  • External integrations
  • Policy gates
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Akaitto Integrations showing connected Gmail, custom actions, platform events, and available business integrations
Gmail capabilities in Akaitto with a new email trigger and send, list, and get email actions enabled
Akaitto workflow editor showing a customer support workflow from a new Gmail message through knowledge and a Digital Coworker to a connection action
Akaitto workflow editor with a Support Agent selected and its model, input, and instructions configuration panel open
02 · Build

Design the workflow. Control every decision.

Turn connected tools and knowledge into governed agent workflows. Add reasoning, approvals, and structured outputs without losing control.

  • Triggers
  • Knowledge
  • Digital Coworkers
  • Human review
  • Outputs
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03 · Deploy

Publish the workflow. Keep every release controlled.

Expose approved workflow versions through authenticated API routes for web apps, iOS, Android, and AI harnesses. Set access, rate limits, and signed URLs from one operational surface.

  • API routes
  • Versioning
  • Authentication
  • Rate limits
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Akaitto deployment settings for a support agent endpoint with authentication, rate limits, an API URL, OpenAPI specification, and signed URLs
Akaitto observability view showing trace outcomes, review signals, latency, tokens, cost, and span details
04 · Observe

Inspect every run. Understand every outcome.

Follow each agent from trigger to response. See latency, token usage, cost, retries, and errors with the context needed to act.

  • Traces
  • Spans
  • Latency
  • Tokens
  • Cost
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05 · Evaluate

Measure every outcome. Improve what matters.

Score quality, risk, corrections, failures, and routing decisions against repeatable criteria before changes reach production.

  • Eval scores
  • Quality
  • Risk
  • Corrections
  • Failure modes
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Akaitto evaluation detail showing span timing, grounding failure, cost, token usage, and scored evaluation results
06 · Train

Turn evidence into improvement. Feed it back into Build.

Convert reviewed runs, corrections, and evaluation results into governed datasets, training jobs, and better workflow versions.

  • Datasets
  • Training jobs
  • Model registry
  • Feedback loop
  • Version promotion
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Governance

Control every agent. Keep every decision accountable.

Define who can approve, what each agent may access, which actions it may take, and what evidence must be retained without rebuilding controls for every workflow.

  • Human oversight

    Route uncertain, sensitive, or high-impact decisions to accountable reviewers before downstream action.

  • Privacy & data control

    Set boundaries for retention, residency, PII handling, and the data each agent may access.

  • Safety policies

    Enforce allowed actions, approval thresholds, and failure behavior before execution.

  • Security & access

    Apply roles, permissions, secret isolation, and approved provider access across every workflow.

  • Audit evidence

    Retain inputs, steps, outputs, reviewer outcomes, model paths, and run cost for legal, risk, and operations.

Infrastructure & sovereignty

Deploy on your terms.

Keep data, credentials, and execution inside environments approved by your organization.

  • On-premise

    Run Akaitto inside infrastructure controlled by your organization.

  • Data residency

    Keep operational data in approved regions and environments.

  • External software

    Connect credentials for your external tools while retaining access visibility and control.

  • Renewable-powered regions

    Choose regions and providers with documented renewable-energy commitments.

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Data flows are explicit and controlled. We work within your data boundaries, mask sensitive fields where required, and scope each workflow to the systems and providers you approve. Nothing moves outside the path you sign off on.

AI Inbox · Evaluation gates · On-premise ready

Bring one AI workflow into production with control attached.

Start with one high-value workflow and map its data, approvals, evidence, evaluation, training, and deployment path.