An assistant supports a person
- Responds when a user asks a question or requests a task
- Finds information, analyses documents and prepares outputs
- Leaves the user to coordinate follow-up work across systems
AgenticAI Organizations & Digital Workers
Digital workers. Autonomous processes. AgenticAI organizations.
We design, build and integrate digital workers that proactively carry out work in your business systems. From a single business role to the operational work of an entire organization — within agreed permissions, risk limits and human oversight.
Sunesis delivers the complete solution: process and role design, agent development, enterprise integration, deployment, monitoring and continuous improvement. Start with a focused process and expand where the results justify it.
Agents do the work. People set the direction and retain accountability.
A digital worker does more than answer a question
A digital worker is a software-based business role, implemented with AI agents, approved tools and workflows. It has a defined objective, permissions and measurable outcomes.
A digital worker takes on operational work
- Responds to business events, schedules and requests
- Works proactively in the background using approved systems
- Tracks progress and carries the case through to a verified outcome
- Escalates exceptions with context and a clear decision request
From one business role to an AgenticAI organization
Choose the scope that fits your processes, readiness and risk profile. Organization-wide autonomy is an option where the nature of the business allows it, not a prerequisite.
Digital workers
A defined role that monitors incoming work, gathers context, performs approved actions and follows up on deadlines. For example, handling routine service requests or preparing and validating documents.
Agent teams and departments
Specialized digital workers coordinate intake, validation, execution and follow-up across a complete process or department, handing over work with shared context.
AgenticAI organizations
Connected teams run processes across business functions and, where appropriate, company-wide operations. People set objectives, supervise performance and resolve matters requiring their judgment.
How work moves from an event to an outcome
For example, a service request can start a process without someone opening a chat. This is an illustrative workflow, not a claim about a specific customer deployment.
1
Receive and assign
A request, system event or scheduled check triggers work. The solution identifies the case, assigns the responsible role and checks its permissions.
2
Gather context and plan
Workers retrieve approved knowledge and business data, validate prerequisites and coordinate the required steps.
3
Execute in business systems
Agents use governed Business APIs and MCP tools. Durable workflows manage state, retries, timeouts and required approvals.
4
Verify, complete or escalate
The solution checks the business result and records completion. Exceptions go to a person with the context, actions already taken and the decision needed.
Autonomy with clear boundaries and meaningful oversight
A running system is not necessarily doing the right work. We combine technical monitoring with oversight of business decisions, process compliance and result quality.
Defined permissions
Specify what each role may read, change or execute. Sensitive actions and changes to business rules require the agreed approvals.
Business-level supervision
Detect missed steps, outdated information, inconsistent decisions and unusual outcomes, alongside technical failures and resource limits.
Actionable exceptions
Give people a summary, supporting evidence and a clear decision request — not raw logs or an alert for every minor uncertainty.
Traceable execution
Connect agent actions, tool calls, process transitions and approvals in an audit trail that supports investigation and accountability.
Reliable recovery
Limit loops and resource consumption, handle unavailable services and safely pause or resume work from confirmed process state.
Controlled improvement
Validate proposed changes on historical cases before rollout. Apply improvements within authorized boundaries; retain human approval for changes to permissions or important rules.
Measure completed work, not just model responses
We agree on a baseline and evaluate the whole process. Efficiency gains are measured goals, not guaranteed percentages.
Execution data and human corrections reveal bottlenecks, recurring exceptions and opportunities to improve agent coordination and process design. We validate improvements against the agreed business metrics before expanding autonomy.
Autonomous completion
The share of cases completed end to end without human intervention, together with the frequency and reasons for escalation.
Time and cost per case
Elapsed time, handover delays and total operating cost per completed case, rather than token consumption alone.
Quality and rework
Correctness of outcomes, compliance with business rules and how often work must be corrected or repeated.
A practical path from one process to connected operations
1
Select a process and establish a baseline
Identify business value, owners, data availability, integration needs and risks. Agree on success criteria and where people must remain involved.
2
Design roles and autonomy boundaries
Map digital workers, tools, permissions, handovers, exception handling and business-level supervision.
3
Build and evaluate a focused pilot
Integrate with the relevant systems and test representative cases, failure scenarios and human approvals before production rollout.
4
Operate, improve and expand
Monitor results, validate improvements and add roles or processes when quality, reliability and business outcomes support expansion.
Built by Sunesis. Powered by KumuluzAI.
Sunesis is your engineering and delivery partner. KumuluzAI provides the reusable platform foundation for agent orchestration, knowledge access, tools, governance and evaluation.
We connect digital workers to existing business systems through controlled interfaces, separating AI reasoning from deterministic execution. Cloud-native engineering, microservices, API integration and DevOps make this operational model reliable — and remain independent Sunesis services.
KumuluzAI
A governed foundation for agents, model routing, knowledge, evaluation and oversight.
Business APIs and MCP
Controlled access to business capabilities with identity, authorization and auditable actions.
Cloud-native operations
Workflow orchestration, observability and reliable deployment in cloud or on-premise environments.
From engineering practice, not just a concept
Building an autonomous AgenticAI organization
Sunesis is participating in a project to establish an organization where agent teams proactively carry out day-to-day operations. The customer and industry are not disclosed under NDA. This is ongoing work, not a completed production reference.
What changes when agents work in the background
Our article explains business-level supervision, exception handling, permission boundaries, reliable execution and process improvement. It also distinguishes projects with different levels of autonomy.
Looking for an AI solution rather than a new operating model?
Our AgenticAI Solutions offering covers assistants, AI agents, RAG, multi-agent applications and enterprise platform integration.
AgenticAI solutions
Build a specific AI application or platform connected to your knowledge, tools and business systems.
AgenticAI organizations
Design and implement digital roles that take on ongoing operational work across processes and business functions.
Which process could your first digital worker take on?
Together, we can identify a suitable process, define the boundaries of autonomy and plan a measurable first implementation — with a path to connected teams and organization-wide operations.