Rules-based automation
When the work looks like…
Repeated steps with stable rules
The likely starting point
Automate the known path.
Run, Scale & EvolveAgentic FDE
Make complex work run. Prove what changes.
Your next AI use case should start with the work your business needs to get done. Roboyo works alongside your teams to find a valuable workflow, redesign how decisions and handoffs happen, and put the right mix of AI, automation and human oversight into production. We agree how success will be measured before building, then improve the workflow as it runs.
Where work gets stuck
The gap is usually in the decisions between systems.
Many businesses already automate predictable tasks. The remaining work involves varied documents, changing context, exceptions and judgment. People bridge the gaps between tools, decide what happens next and keep the process moving. Adding an agent to one step does little if the whole workflow still depends on those handoffs.
Agentic FDE is designed for teams facing one or more of these situations:
-
Automation has reached its limit.
Rules handle the standard path, while exceptions still consume the team's time.
-
AI pilots have no operational home.
A promising demonstration has yet to become a process people can rely on.
-
The value is hard to show.
AI spend is growing, but the business cannot clearly connect it to throughput, quality, cost or service.
Choose the right mechanism for the work
More agents are not the answer to every bottleneck.
We examine the work before deciding how to change it. If the steps are predictable, conventional automation may be enough. Where the goal is clear but the next step depends on context, an AI-assisted or agentic approach may help. If the team cannot yet agree on the desired outcome, the first job is to define and redesign the process.
- 01Incoming work
- 02Known rules
- 03Decision needing context
- 04Human review where required
- 05Action in the system
- 06Measured outcome
AI-assisted judgment
When the work looks like…
Decisions that depend on documents, context or exceptions
The likely starting point
Test AI support within a governed workflow, with human review where needed.
Process redesign and definition
When the work looks like…
Conflicting goals or no agreed definition of success
The likely starting point
Clarify ownership, outcomes and process design before choosing technology.
The result is a solution shaped by the work, including the parts that should remain with people.
What you get
A way to choose, deliver and keep improving the right workflow.
A defensible starting point
We work with your process owners and finance team to identify candidate workflows, examine operational evidence, agree what good performance looks like and prioritize the opportunities worth pursuing.
A working process, not a standalone agent
The chosen workflow is designed around the systems and people already involved. It can combine existing automation, AI-supported decisions, integrations, exception handling and explicit approval points. It is tested against the scenarios that matter before production.
An operating and measurement plan
The team agrees a baseline, how results will be checked, who owns decisions and what must be monitored once the workflow goes live. Performance and feedback inform the next improvement and the next opportunity.
How the engagement works
Start with one valuable workflow. Build from evidence.
-
01
Find and define
We study how the work runs today, including its exceptions, decisions, systems and costs. Together with your teams, we choose a starting workflow, set a baseline and agree the criteria for success.
OutputA prioritized opportunity and a clear plan for the first workflow.
-
02
Build and prove
An embedded team designs and builds the workflow with the people who operate it. We define where automation acts, where AI interprets information and where a person must review or approve. We test the solution against agreed scenarios, integrate it with the relevant systems and prepare it for production.
OutputA production-ready workflow with controls, ownership and a way to measure performance.
-
03
Run and improve
We monitor the live workflow, review exceptions and results with your team, and adjust it as the work changes. The evidence from the first implementation helps select and shape the next.
OutputMeasured operational performance and a path to extend what works.
Related Roboyo work
Find the right starting point
Already know the workflow? Start here. Need a broader diagnosis? We can begin there.
Agentic FDE fits when you want a team to identify, implement and operate a sequence of valuable workflows. If the bigger question is where work breaks across the business, explore Enterprise Intelligence. If you have an existing application and already know the process it must support, explore the Agentic Application Launchpad.
Practical questions
Effort, platforms, controls, timing and cost.
Do we need a defined AI use case before we talk?
No. Bring a business process, a persistent bottleneck or a decision that takes too much manual effort. The first step is to test where the value lies and whether AI is the right mechanism.
Does every step have to use an agent?
No. Stable rules, AI-supported interpretation and human decisions can all have a place in the same workflow. The design follows the work and the level of oversight it needs.
What will our team need to contribute?
We will need access to people who know how the process runs, an owner who can make decisions, and the right input from finance, technology and security. The specific data, time and access requirements are agreed when the scope is defined.
How do you handle control and accountability?
We define what the workflow may do, when a person must intervene, how decisions can be reviewed and who owns the process in production. Testing and monitoring are part of the design from the start.
How long will it take, and what will it cost?
That depends on the workflow, integration and approval requirements. We will define the scope, delivery milestones, responsibilities and commercial terms with you before committing to a production date.
Bring us the process that keeps stopping at a decision.
Tell us where the work slows down, what your team does to keep it moving and what a better outcome would mean. We will help you identify a credible place to start.