Agentic AI Development

Agentic AI development services

Agentic AI goes beyond answering questions or generating content. It plans, reasons, makes decisions, and takes actions across multiple steps and systems to complete complex goals with minimal human intervention. We design and build agentic AI systems for businesses that need intelligence that can operate independently, adapt to changing conditions, and get things done across the tools your organization already runs on.

What we build

Agentic AI solutions we deliver.

Agents that plan, decide, and act across your tools and systems — built to run reliably in production, not just complete a task in a demo.

Expert Team & Proven Experience

10+ years in the industry, with 500+ happy clients worldwide.

Research and Analysis Agents

Our research agents search across your specified sources, evaluate content for credibility and relevance, and produce structured, cited outputs ready for human review — valuable for competitive intelligence, market research, regulatory monitoring, and due diligence workflows.

Multi-Step Workflow Orchestration Agents

For business processes that span multiple systems and require decisions at each stage, our orchestration agents monitor for trigger conditions, retrieve relevant data, apply your logic, execute actions across connected systems, and escalate to a human when a situation falls outside defined boundaries.

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Procurement and Supply Chain Agents

Continuous monitoring, evaluation, and execution across suppliers and systems — tracking inventory levels and demand signals, evaluating supplier options, generating purchase orders, tracking delivery status, and flagging exceptions within your ERP and procurement platforms.

Finance and Compliance Operations Agents

Accuracy, auditability, and rule adherence at every step — automating reconciliation workflows, monitoring transactions for anomalies, generating compliance reports, and extracting and validating data from financial documents, with every action logged for full traceability.

Customer Onboarding Agents

Onboarding involves coordinating steps across multiple systems — collecting information, verifying it, provisioning access, and following up on incomplete actions. Our onboarding agents manage this entire sequence autonomously and escalate to your team only when human judgment is genuinely needed.

Configurable autonomy and human oversight for agentic AI

Autonomy & oversight

Autonomous does not mean unsupervised

Every agentic system we build includes explicit human oversight checkpoints, particularly for irreversible, high-stakes, or sensitive actions, with configurable settings defining which actions run autonomously, which require approval, and which trigger an alert — adjustable over time as confidence in the system grows. An agent is also only as useful as the tools it can access: we integrate securely with your CRM, ERP, databases, and internal APIs using authenticated, least-privilege tool-calling patterns, so the agent only ever touches what it needs.

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Safety engineering for autonomous agentic AI systems

Safety engineering

Built for production, not a demo

A demo agent completing a task in a controlled environment is not the same as one performing reliably across thousands of real-world executions. Building production software since 2013 means we design against failure from the start — circuit breakers that halt execution on unexpected conditions, rollback capability for reversible actions, detailed logging of every reasoning step, and regular adversarial testing before anything goes live. For healthcare and financial services clients, every reasoning step and tool call is logged to GDPR, HIPAA, and SOC 2-aligned standards, with escalation paths your compliance team can review in full.

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Agentic AI development process from goal decomposition to deployment

Our process

From goal decomposition to a deployed agent

We start by decomposing your objectives into sub-goals, mapping the tools the agent needs, and defining the boundaries of autonomous action versus human oversight (1–3 weeks), then design the agent architecture — a single autonomous agent where that fits, or a multi-agent topology where different agents handle retrieval, evaluation, and synthesis in parallel — and build a proof of concept on your actual use case (2–6 weeks) before full sprint-based development. We deploy with a canary release strategy and provide 90 days of active monitoring and refinement as standard, with the same engineers who built your agent supporting it afterward. This is one of our dedicated AI practices — see the full AI and machine learning overview, or if your need spans a broader range of agent types — copilots, task bots, customer-facing agents — our AI agent development practice covers that ground, alongside the memory and retrieval infrastructure behind many agents in our RAG system development work.

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Industries

Agentic AI across industries.

The same autonomy, oversight, and audit discipline, tuned to the workflows and regulatory reality of each sector we work in.

Healthcare

We build HIPAA-compliant coordination agents for appointment management, patient follow-up, referral orchestration, and clinical data aggregation. Our experience with Doccure means we understand the clinical workflows, data sensitivity, and regulatory requirements these agents must operate within, with strict escalation paths and comprehensive audit logging throughout.

Financial Services

Accuracy, auditability, and rule adherence are non-negotiable in finance. Our agents handle transaction monitoring, reconciliation automation, compliance report generation, document data extraction, and regulatory filing preparation — with full traceability, built-in approval workflows for high-risk actions, and the audit standards your compliance team and regulators expect.

Retail and Supply Chain

Our retail and supply chain agents monitor stock levels, identify replenishment needs, evaluate supplier options, generate and track purchase orders, and flag exceptions for human review — integrated with your ERP and order management systems and operating within the thresholds your operations team defines.

Professional Services

Research, due diligence, proposal preparation, and client reporting consume significant senior staff time. Our research and analysis agents handle the information gathering and synthesis autonomously, producing structured, cited outputs your professionals can review, refine, and act on — without removing their judgment from the final output.

Software and Technology

Code review, test generation, documentation maintenance, dependency monitoring, and build pipeline management, handled autonomously inside your existing development environment and integrated with your version control, CI/CD, and project management tools.

Technologies we work with

  • ReAct & Plan-and-Execute
  • Multi-Agent Orchestration
  • LLMs with Native Tool Calling
  • Vector Databases
  • Knowledge Graph Integration
  • Agent Trace Logging
  • Circuit Breakers & Rollback
  • PII Detection & Redaction
  • Docker & Kubernetes
  • Infrastructure as Code

Related services

Part of our AI development services.

One of 13 specialized practices under our AI & ML hub — explore the ones most relevant to what you’re building.

FAQ

Frequently asked questions

What we hear most often about agentic AI projects — safety, integration, and how much autonomy is the right amount.

What is agentic AI and how is it different from a chatbot or standard automation?

A chatbot responds to questions. Standard automation follows fixed rules. Agentic AI takes a goal, plans the steps to achieve it, executes actions across multiple tools and systems, evaluates the results, and adapts its approach — all without needing a human to guide each step. It is the right approach for complex, variable, multi-step tasks.

How do you make sure autonomous agents are safe and reliable?

We implement circuit breakers, rollback capabilities for reversible actions, human oversight checkpoints for high-stakes decisions, comprehensive logging of every reasoning step, and sandboxed adversarial testing before any agent goes live. Safety is a core engineering requirement throughout, not something added at the end.

How long does an agentic AI project typically take?

A focused single-purpose agent typically takes 8 to 14 weeks. Multi-agent systems with complex tool integration and compliance requirements typically take 4 to 8 months. We provide a precise timeline after the discovery and goal decomposition phase.

Can agentic AI integrate with our existing tools and enterprise systems?

Yes. We build agents that connect to your CRM, ERP, internal databases, third-party APIs, and any other relevant system using secure, authenticated tool-calling patterns with least-privilege access so the agent only touches what it needs.

How do you handle situations where the agent encounters something it cannot resolve?

Every agent has clearly defined escalation paths. When confidence falls below a set threshold or an action is irreversible and high-stakes, the agent stops and routes to a human with full context about what it was doing and why it needs input. It never proceeds blindly.

What ongoing maintenance do agentic systems require?

Regular monitoring of goal completion rates, tool reliability, and reasoning quality is essential. As your tools, workflows, and business rules change, the agent needs to be updated to reflect them. We include 90 days of active post-launch support as standard and offer ongoing retainers to keep the system performing well.

Ready to build autonomous AI that gets work done across your business?

One honest conversation, no obligation, to find out whether agentic AI is the right fit for your process and what it would take to build.