Access with a clear purpose.
Choose which knowledge, tools and providers each digital worker can use. Manage access through organization roles and permissions.
The platform for digital worker operations
Digital workers.
Ready for
real work.
Build, deploy and run digital workers in one place. Connect your systems, keep people in control and improve every workflow with evidence.
Your tools. Your models. Your infrastructure.One platform.
The whole journey.
The whole journey.
Digital workers + workflows
From context to action.
People in the process
Decisions with oversight.
Evaluation + improvement
Learn from every run.
AI Factory
From your first connection
From your first connection
to your next release.
One workspace for the full lifecycle. Explore how a customer request becomes a workflow you can deploy, inspect and improve.
AI Factory / Configure
Give your digital workers the right starting point.
Bring company knowledge, connected tools and model providers into one workspace. Set permissions before the first run.
Explore it in a demo
Customer support workflowProduct illustration
Operations assistant / ConnectionsAI Factory
KnowledgeCompany documentation
ToolsEmail and internal systems
ModelYour team’s choice
Sources selected
Permissions defined
Context ready
An illustrative workflow. Select a stage to see what changes.
Digital workers, knowledge, workflows, evaluations and
training.Let’s explore your use case
Space · Your team, in the loop
AI takes action.
AI takes action.
Your team decides.
Give digital workers autonomy where it adds value. When judgment matters, bring the decision to people with the context they need.
- Reviews and approvals in one place
- Evidence alongside every decision
- Clear ownership and follow-up
Space / Review inboxIllustration
A decision needs your judgment.
The digital worker has drafted a reply. Review the exception before it is sent.
Customer request
Source consulted: returns policy
Review reason: outside the standard return window
Source consulted: returns policy
Review reason: outside the standard return window
A proposal from AI. A decision by your team.
The right model.
For every task.
Choose models based on quality, cost and the needs of each task. Observe the results and adjust with evidence.
OpenAIAnthropicGeminiMistralLlamaQwen
Autonomy for digital workers.
Accountability for people.
Bring permissions, approvals and evidence into the workflow itself. Your team decides what can run and what needs a review.
Approval before action.
Put human review where your process needs judgment. Give reviewers the request, the proposed action and its context.
Evidence you can follow.
Inspect execution steps, model usage, latency and cost. Keep the operational context alongside each outcome.
A quality check before release.
Compare candidate changes against reviewed examples. Use evaluations to decide what is ready for your workflow.
Infrastructure and data control
Your environment.
Your environment.
Your boundaries.
Run Akaitto on your own infrastructure. Choose where your operational data lives and which external services your workflows can use.
- Self-hosted deployment
- Fit the platform into your organization’s infrastructure.
- Provider choice
- Use approved external providers or compatible local models.
- Explicit data paths
- Review the information each connected service receives.
Your
environment
Company knowledgeInternal tools
AkaittoDigital workers and workflows
Human reviewExecution history
Only the connections you enable
Approved models and external services
Deployment illustration. Data flows depend on your configuration.
Practical use cases
Start with the work
Start with the work
your team knows best.
Choose a process with clear inputs, a useful outcome and a person who can review it. Build from there.
Answers with context.
People where it matters.
Connect your knowledge base, classify requests and draft replies. Your team handles the cases that need a human perspective.
Let’s talk about this process- A request comes inThe digital worker identifies the intent and context.
- Consult your knowledgeDraft a reply grounded in your company’s sources.
- Your team reviews exceptionsSensitive decisions go through a person.
- The outcome informs improvementEvaluate the response and find room to improve.
Different industries. A shared need for control.
-
Finance and operations
Prepare invoice checks, reconcile records and bring discrepancies to the team.
-
IT and service teams
Classify tickets, find relevant knowledge and coordinate the next action.
-
Legal and compliance
Organize document reviews, compare clauses and collect supporting evidence.
-
Insurance
Assemble case information and flag missing documents for a reviewer.
-
Healthcare operations
Structure administrative intake and route sensitive information to authorized staff.
-
Public services
Organize incoming requests and help teams prepare traceable case responses.
Before your first
production workflow.
The practical questions: your data, your integrations and what happens when a workflow needs help.
What is Akaitto?
Akaitto is a platform to connect data and tools, build digital workers and workflows, supervise their work and improve their results. AI Factory brings the technical journey together, while Space brings people into reviews and decisions.
Do I need to replace my existing tools?
Your existing systems and knowledge are the starting point. During the demo, we review the connections your process needs, permissions and integration options before defining a solution.
Can I choose my AI models?
Yes. The platform supports different providers and compatible models. The right choice depends on your use case, data requirements, quality needs and budget.
Can Akaitto run on our own infrastructure?
Yes. Akaitto supports self-hosted deployment. We work through your infrastructure, storage and model requirements when scoping the deployment. External providers receive the data your configured workflows send them, so those connections need to match your policies.
Can we connect workflows to our applications?
Publish a workflow version as an API and call it from your application. Configure access and rate limits, and use execution traces to investigate how each request was handled.
What happens when a digital worker gets something wrong?
Define review points and failure paths in your workflow. Your team can inspect the execution, correct the outcome and use that example in evaluations before releasing a change. Human review depends on the approval steps you configure.
How do I get started?
Email us at hola@akaitto.com with the process you want to improve. We’ll walk you through the platform, review the integrations you need and scope your first use case together.
Bring one workflow.
See the whole picture.
We’ll map the connections, review points and deployment options with you. Start with a process that matters to your team.