AI Agent Development
AI agents that complete tasks — not just start them.
Autonomous and multi-agent systems built for enterprise workflows. Not chatbots with extra steps.
Genuinely autonomous systems that act, verify, and escalate intelligently. We've shipped AI agents for procurement automation, customer operations, compliance monitoring, and research workflows — agents that run overnight and surface results, not agents that need supervision.
Beyond chatbots
Agents don't just respond. They act.
A chatbot responds to input. An agent takes action. It searches the web, queries databases, calls APIs, writes code, sends notifications, and completes multi-step tasks that span hours or days — with verification at every step and human escalation when it matters.
Multi-agent orchestration is where most teams fail. Coordinating agents with conflicting outputs, managing state across long-running tasks, graceful failure handling — we've built the infrastructure that makes this work.
Tools per agent on average
Task completion time reduction
Agent architectures
From single-purpose agents to multi-agent orchestration.
We build the right agent architecture for your use case — from focused single-task agents that do one thing exceptionally well, to coordinated multi-agent systems where specialist agents collaborate on complex workflows.
productivity improvement with properly designed agent systems
AurvikAI client data
Task agents
Single-purpose agents that handle specific workflows — data extraction, report generation, scheduling, monitoring.
Conversational agents
Customer-facing agents that resolve issues through multi-turn dialogue with access to your systems and knowledge.
Research agents
Agents that gather, synthesise, and summarise information from multiple sources — autonomously and thoroughly.
Multi-agent systems
Coordinated teams of specialist agents that collaborate on complex workflows — with orchestration and conflict resolution.
What our agents do in production
Real agent systems handling real enterprise workflows — not demos.
Procurement automation
Multi-step procurement workflows automated end-to-end — from requirement gathering through supplier evaluation to PO generation, with human approval gates at defined thresholds.
reduction in procurement cycle time
The tools agents use to get work done
Every tool integrated with error handling, retry logic, and audit trails.
Agents that can access, query, and reason over your organisation's data.
Agents write and execute queries against your databases — with read-only access and parameterised queries for safety.
RAG-powered access to your document library with citation tracking and access controls.
Structured web search with source validation and relevance scoring.
Reading, parsing, and extracting information from PDFs, spreadsheets, and other document formats.
AurvikAI agent observability dashboard — every action tracked, every decision auditable
From manual workflows to autonomous operations
Agents don't just assist your team — they handle entire workflows while your team focuses on decisions that require human judgement.
Manual workflows
- Employees copying data between 5+ systems to complete routine tasks
- Research processes that take days of manual searching and compilation
- Customer issues bouncing between teams with no autonomous resolution
- Compliance checks running monthly instead of continuously
- After-hours requests waiting until morning for any response
Agent-powered operations
- Agents navigate cross-system workflows automatically with human oversight
- Research agents deliver structured, cited reports overnight
- Customer agents resolve 74% of issues autonomously with system access
- Compliance agents monitor continuously and alert on regulatory changes
- Agents operate 24/7 with intelligent escalation to human teams
See agents in action
Watch an AI agent complete a multi-step procurement workflow.
From supplier research through quote comparison to purchase order generation — a real agent handling a real workflow with tool usage, verification steps, and human approval gates.
Engineering discipline
Agents that fail gracefully, not silently.
Every agent system includes scope restrictions, human-in-the-loop gates for irreversible actions, full audit trails, and graceful failure design. Timeouts on every tool call, retry logic with exponential backoff, circuit breakers for failing systems, and fallback paths that escalate to human review. Autonomous doesn't mean unaccountable.
Agents that fail silently are worse than no agent at all. We design failure to be visible, logged, and escalated appropriately.
Of agent actions logged with full context
Alert time for agent failures or anomalies
INSIGHTS
Thinking worth reading
Ready to automate workflows with AI agents?
Let's start with the workflow you want to automate. We'll tell you honestly what agents can handle today, where human oversight is still needed, and what the path to production looks like.