End-to-end orchestration: people, systems, robots and agents in one flow — with SLAs that enforce themselves and a trail that proves it.
Kavuka Workflow turns the process that lives in email and spreadsheets into a governed flow: the owner designs it low-code, the task reaches the right person with context and deadline, delays escalate on their own and the platform engines execute the steps — all with the audit trail born ready.
- Low-code
- design by the process owner
- SLA
- automatic escalation
- APIs · RPA · agents
- as flow executors
- Per instance
- full audit trail
Flows in production governing approvals, customer pipelines and regulated processes — the right task in the right hands, with monitored SLAs and a full per-instance audit trail.
Your most critical process runs over email. And no one knows where the case is stuck.
The approval asleep in the inbox
Approval stalls in the inbox of whoever traveled, no one measures lead time and the customer waits without an answer — the process lives in email and a control spreadsheet.
The 'where is the case?'
The untracked instance: the team does not know where the case is stuck, the customer chases it and the manager hunts thread by thread to reconstruct status.
The process that lives in the head of whoever left
The authority level skipped without record, the exception with no trail and the knowledge in people’s heads — the process certified on paper and improvised in practice breaks when they leave.
Cost The email-bound process charges in lead time (the approval that sleeps), in risk (the authority level skipped without record) and in knowledge (the process that lives in the head of someone who may leave tomorrow). And there is the audit cost: reconstructing the evidence of an informal flow costs more than having governed it from the start.
From the email-bound process to a governed flow, in four steps.
- 01
Design
The process modeled visually: steps, rules, authority levels and deadlines — by the process owner, with IT governance.
- 02
Connect
APIs, robots (RPA), agents and the Kavuka engines as step executors — the system called, the legacy operated, the intelligence summoned.
- 03
Run
The task routed with context and deadline; the SLA monitored per step; the delay escalating on its own per the flow rule.
- 04
Measure and improve
Times, bottlenecks, volumes and the full per-instance trail — the auditable process that learns and improves.
The engine behind every process
A single flow governs human and automated steps, calls the right executors at each stretch and returns the instance tracked, measured and auditable end to end.
Low-code design
Visual steps, rules, authority levels and deadlines
Routing and tasks
The right task, in the right hands, with context
SLA and escalation
Deadline per step; the delay escalates on its own
API integration
Systems called at the right moment
Robots and agents
RPA on legacy, AI agent on analysis
Native Kavuka engines
Verification, decision and document, seamless
Process measurement
Times, bottlenecks and volumes per flow
Per-instance trail
Who, what, when and on what basis
Who governs processes with Kavuka Workflow
Approvals and authority levels
Procurement, contracts, discounts and exceptions — the classic case every company has, and the one that suffers most in email.
Onboarding and service
Onboarding, credit, claims and service — the flow with an SLA visible to both the team and the customer.
Regulated processes
The per-instance evidence that audit and certification require, with authority levels enforced by the flow.
Orchestration of Kavuka engines
The workflow governing verification, decision and document inside the customer process, with in-house executors.
The trail your audit requires — born ready
In Kavuka Workflow, compliance is not a report at the end: it is how the flow operates. Each instance is born with evidence, authority levels are enforced by the process and every exception is recorded — instead of being reconstructed in a week of mining threads.
- Full per-instance trail: who approved, what, when and on what basis — at every step.
- Authority levels and segregation of duties enforced by the flow, not by people’s discipline.
- Native audit evidence: proving the process is a query, not a reconstruction.
- Exception and deviation logging: every off-standard case is documented with rationale.
- Knowledge codified in the flow: the process survives turnover, depending on no one’s memory.
The question "where is the case?" became a click. Approval lead time dropped from days to hours and stopped sleeping in the inbox of whoever traveled.
The last audit was a query, not a reconstruction. Each instance was already born with who approved, when and on what basis.
We designed the exceptions flow without opening a ticket with IT. The process stopped living in the heads of two people and became the company’s.
Bring the process out of email: we give it back designed, governed and measured — in one week.
In a pilot with your real process, you see the governed flow running: the task routed, the SLA escalating on its own and the trail born ready.
- For businesses only. No purchase commitment.
- Data used solely for commercial contact.
- Enterprise leads answered within 1 business day.
What Workflow Automation is and how to orchestrate processes
Workflow Automation is the end-to-end orchestration of the process: the flow designed — steps, rules, owners and deadlines — and executed by the platform. It is the task routed to the right person, the system called via API at the right moment, the robot triggered on the legacy stretch, the agent summoned on the step that demands intelligence and the SLA monitored with automatic escalation. Instead of a process that lives in email and a control spreadsheet, you get a governed, traceable and measured flow — the right task, in the right hands, on the right deadline, with proof of everything.
It is the BPM of the modern era, on three pillars. Low-code: the process owner designs the flow visually, while IT governs integrations, permissions and standards — the model that scales without becoming a backlog of tickets for development. Integrated: APIs, RPA (robots that operate legacy through the screen) and AI agents are the flow’s executor arms, each called on the stretch where it is the best executor. And measured: every process has its times, bottlenecks, volumes and evidence, turning the operation from a memory-dependent black box into an auditable, improvable system.
It is worth distinguishing the three layers that are often confused. The Workflow governs the process: it defines steps, people, deadlines and rules. RPA is the arm that operates legacy systems through the screen, automating repetitive tasks where there is no API. The AI agent is the intelligent executor of steps that demand analysis, document reading and planning. The flow orchestrates; robots and agents execute — and the three complement one another: none replaces the other, but together they turn a manual, scattered process into a complete, governed pipeline.
In the Kavuka portfolio, the Workflow is the connective tissue: the onboarding pipeline, the compliance ruleset and the anti-fraud exception flow are all workflows. The structural difference is that, while market platforms orchestrate well but depend on third-party integrations for verification, risk-decision or document-reading steps, Kavuka Workflow calls in-house executors natively: the verification step triggers the engine (KYC, KYB, screening), the decision step calls the Decision Engine, the document step calls the IDP, the legacy step calls the RPA and the intelligence step calls the agent. The result is the complete process, with no vendor stitching, with the audit trail born ready and an SLA that enforces itself — instead of a manager who chases.
What is the difference between Workflow, RPA and AI Agent?
The Workflow governs the process (steps, people, deadlines, rules); RPA is the arm that operates legacy through the screen; the AI agent is the intelligent executor of steps requiring analysis and planning. The flow orchestrates; robots and agents execute — and the three are sold and operate together.
Who designs the flows — IT or business?
The process owner designs in the visual low-code; IT governs integrations, permissions and standards. It is the model that scales without becoming a backlog of tickets for development — the business models, IT keeps the house in order.
How does the workflow integrate with the Kavuka engines?
Natively: the verification step calls the engine (KYC, KYB, screening), the decision step calls the Decision Engine, the document step calls the IDP. The customer process is governed with in-house executors, with no vendor stitching.
What happens when a deadline is breached?
Automatic escalation kicks in: the reminder, the reassignment, the rise in authority level — per the rule defined in the flow. It is the process that enforces itself, instead of the manager who chases thread by thread.
Does it work for regulated and certified processes?
It is the strong case: each instance is born with a full trail (who, what, when, on what basis), authority levels are enforced by the flow and audit evidence is a query — not a reconstruction of email threads.
How long does it take to get the first process live?
The proposal is a pilot with the real process in one week: the critical flow that today runs over email comes back designed, governed and measured — the fast proof, with your case, before scaling to the rest of your processes.
How does the Workflow relate to the other Kavuka products?
The Workflow is the connective tissue of the portfolio: the Kavuka engines are the executors, RPA is the legacy arm, the AI Agent is the intelligent step and the Decision Engine is the decision in the pipeline. The workflow governs; the others execute within it.
Let's talk
Your next high-impact decision starts with the right data.
Talk to a GUÉP specialist and find where applied intelligence creates the most value in your operation.