Automate your Business Workflow with OutSystems Agentic AI
box-sizing We build, alter and troubleshoot your agentic AI tool within your working OutSystems ecosystems - connecting your business logic, approval processes, legacy API, and workflow into a single platform built with the speed of low-code.
Engineered by Experts, Built for Scale
We connect the dots between the complex business workflow and the high-level enterprise goal of performance with our agentic AI tool working on your core application.
- Debtless Integration: As the whole integration is on native OutSystems ecosystems, there is no risk of heavy technical debt.
- Autonomous Workflows: Task allocation, data routing, and decision-making are done in real-time.
- Rapid Deployment:You can launch the application in weeks by pre-build governance model.
Independent Agents Built for Your Application
Transform your OutSystems application with agentic AI handling complex operational bottlenecks.
Process Agents
Handle heavy rule-based processes from start to finish with automatic workflow and decision-making for processes like invoice creation, unstructured data extraction, etc.
Transaction Agents
Trigger the transaction workflow safely through a conversation interface with secure processing through OutSystems backend logic.
Reconciliation Agents
Real-time data comparison and matching between the legacy system and modern application to auto-solve the data discrepancy if there is any.
Decision Copilots
Decision copilots will look through all the options to provide you the next best action for better results, that too with a 1-click execution process.
Stepfinity's Approach to Deliver Agentic AI on Time
A streamlined path from first workflow audit to a governed agent in production.
Understand
Understand the workflow of the agent and then map all the decision which one has to take during the workflow.
Architect
Architect the agent's reasoning boundaries and guiding rules of the workflow.
Build
Build the agent inside the OutSystems platform and integrate with your running application. .
Test
Here, the agent is kept in the shadow where it works while the decisions of agents is tallied with the manual process before it goes live.
Deploy & Govern
Deploying the agent to the application with all the audit trails and ongoing performance tuning.
When OutSystems Agentic AI do Wonders
OutSystems agentic AI is integrated with your application, it resolves complex workflows in real-time.
Claim Triage & FNOL Automatically
Agents have the ability to process claims through unstructured policy documents, provided photos, and police reports to calculate the amount of claim coverage.
- Verifies the coverage from the core DBs automatically
- Recognizes the fraud risk through LLM pattern matching
- Automates the payout process or routes the application to a specialist after verification
Resolves the KYC & Loan Process
The ability of agents to take references from different platforms to ensure authenticity of data by tallying the information from corporate tax filing and registration data against regulatory compliance APIs.
- Validates the data from global watchlist in real-time
- Evaluates the credit risk automatically
- Routing the specialist in the process for edge cases
Remove manual synchronization from your task list with workflow synced in real-time in the background.
Remove manual synchronization from your task list with workflow synced in real-time in the background.
Why your Application needs Agentic AI
Have an AI Agent specially for your application for a better user experience.
Empowering Leaders Across Industries
Unequivocal Security & Governance Guidelines
Clearly defined guidelines to ensure that AI agents are secure and compliant
Explicit Boundaries
Agents work under explicit guidelines so that there are programmatic boundaries for agents which can prevent mishaps.
Specialist in the Loop
When the confidence of security or reliability drops below the bar, then automatic process triggering halts and the specialists are taken into the process loop for reliable decision-making.
End-to-End Data Security
Even when the data is passed to the agents, the enterprise data is never retained in its memory to ensure the integrity of data.
What enterprise teams usually ask us
What is agentic AI?
Agentic AI is the technology that is built on generative AI and powers AI agents, so that these agents can act independently with no human guidance. It is a system which process large amounts of data from multiple data sources and third-party application which can then anonymously analyze problems, solve challenges and executes the task without any humans in the process.
How does agentic AI differ from other AI approaches?
The main difference between Agentic AI and generative AI is that the most generative AI can do is answer questions or solve queries; on the other hand, Agentic AI can start a process without any trigger from a human, it can solve complex problems and execute multi-layer tasks for a process while doing critical thinking and making decisions along the way.
How much does AI development really cost?
The cost for AI development can differ on many parameters, whether it is scope, data readiness, model approach or enterprise architecture. If you want to know a figure or want to calculate one, I suggest you visit the following link. Explore what AI development actually costs in our dedicated AI development cost page
How does agent orchestration impact agentic AI development?
Agent orchestration is the process of managing a set of agentic AIs to ensure a multi-layer task that can include more than one agentic AI is involved. It coordinates between multiple agents to plan, communicate, and execute tasks within a system.
What makes Agent Workbench secure and trustworthy for enterprises?
The Agent Workbench is built on the same foundation on which the OutSystems platform is built, which means that it follows the same enterprise security and governance models that are trusted by the regulatory and finance industry for over years. Unlike unproven solutions model which doesn't have full-proof foundational governance and have limited enterprise-grade features, OutSystems has already have the built-in features of access control, compliance, and audibility from day one. In addition to that, the developers also have the liberty to define the technical, ethical, and other guidelines for agents so that they don't work unpredictably.
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