Agentic Workflow
Design and
Implementation
Designing and deploying agents that reason through multi-step workflows, rather than scripting every branch in advance.
Automation Using Agentic AI
Automation That Thinks, Decides, and Adapts in Real Time
The Challenges We Solve
Automation has traditionally meant rules: if this, then that. That model breaks down the moment a process has to handle real-world complexity, exceptions, shifting regulations, or decisions where context matters more than a fixed script. Agentic AI further changes the automation equation. AI agents cannot just execute predetermined steps, they need to interpret context, make decisions, enforce constraints, and coordinate across systems in real time. Thus, modern automation needs to handle complexity, not just repetition.
Our Approach
InfoPeople has designed and deployed agentic automation across genuinely demanding environments: large-scale data ingestion governed by cross-jurisdictional regulatory requirements, revenue operations that must respond dynamically to market shifts, and underwriting workflows where speed and accuracy directly affect capital exposure. We design agentic automation with governance built in from the start, including defined checkpoints for human review on consequential decisions, so speed and accountability are not in tension.
Our Agentic Automation Capabilities
Agentic Workflow
AI-Governed ETL
and Data Pipeline
Automation
Data pipelines that adapt to changing data conditions and regulatory constraints, reducing manual maintenance.
Compliance and
Regulatory Constraint
Automation
Automated enforcement of regulatory requirements, including GDPR and CCPA, built directly into agent decision logic.
Real-Time Decision
Automation
Automated pricing, routing, and inventory decisions that respond to conditions as they change in real time.
Human-in-the-Loop
Oversight Architecture
Defined checkpoints where human review is required before an agent takes a consequential action.
Insights and Resources
Exotic insurance platform transforms underwriting with AI-native valuation and risk intelligence
A unified AI-native valuation infrastructure enabled an exotic insurance provider to reduce underwriting latency, improve pricing precision, and strengthen capital resilience across exotic risk categories.
Global digital publisher strengthens revenue predictability with AI-powered RFP and forecasting engine
A unified AI-backed revenue intelligence platform helped a global publisher reduce forecast variance, improve RFP win rates, and align inventory allocation with probabilistic demand modeling.
FAQs
RPA executes fixed, rules-based sequences of steps and breaks when conditions change outside its scripted path. Agentic automation uses AI agents that interpret context and make decisions in real time, allowing it to handle variability and ambiguity that would stop a traditional RPA workflow.
Yes. InfoPeople builds compliance and regulatory constraint automation directly into agent decision logic, along with human-in-the-loop oversight and audit logging, specifically for regulated use cases like underwriting and cross-jurisdictional data processing.
Our human-in-the-loop oversight architecture defines checkpoints where agents route consequential or low-confidence decisions to a human reviewer, rather than acting autonomously on every decision regardless of confidence.
Go Beyond Static, Rules-Based Automation with Us
Deploy agentic automation that handles complexity and ambiguity,
not just repetition, with governance built in from the start.