Agentic AI Development Services
Production agentic systems built on Claude and the Anthropic Agent SDK — with state management, escalation paths, human-in-the-loop checkpoints, and the operational discipline agents need to survive in regulated workloads.
The short version
Agentic AI development is hard for a structural reason — agents that take real actions need to be wrong less often than humans, and humans are wrong a lot. NINtec engineers Claude agents development for production deployment, not for demo. Our multi-agent systems practice has shipped agentic workflows across customer-service deflection, freight exception-handling, KYC document processing, healthcare prior-authorisation, and engineering incident-response. AI agent engineering at NINtec means designing the failure modes first — what does the agent do when uncertain, who does it escalate to, what state survives a process restart, how do we audit every action it took. We build on the Anthropic Agent SDK where it fits, on LangGraph where it does not, and on bespoke orchestration for high-consequence workflows where the framework abstractions get in the way.
What's in scope
Agent Architecture
Single-agent, hierarchical multi-agent, or peer-to-peer multi-agent designs — chosen on workload, not fashion. Failure-mode-first design.
State Management + Durability
Durable state stores, checkpoint-and-resume on long-running workflows, and idempotency on action invocation. Agents survive crashes; they do not silently lose context.
Human-in-the-Loop Checkpoints
Explicit checkpoints where Claude defers to a human decision-maker. Confidence-thresholded escalation. Approval queues, not infinite-action freedom.
Tool Use Orchestration
Tool registries, tool-use loops with structured output validation, and permission scoping per tool. Tools that can take destructive action are gated.
Eval + Safety Harness
Continuous evaluation across happy-path and adversarial scenarios. Safety reviews before any production tool grant. Rollback playbooks for agent regressions.
Observability for Agents
Per-step traces, decision-rationale logging, action audit trails, and cost telemetry — the observability primitives that operations teams need to actually run agents in production.
How NINtec delivers
Agentic engagements run 12–20 weeks. The Discovery phase scopes the failure modes before scoping the happy path. Build delivers the agent iteratively with eval scaffolding from week one. Hardening includes adversarial-scenario testing and shadow-mode running before live action authority is granted.
Read the full AI Engineering MethodHow we compare
| Dimension | Generic agency | Big consulting | NINtec |
|---|---|---|---|
| Claude engineer certification | Ad-hoc, unverified | Generic AI training | 4 internal tracks + Anthropic CCA path |
| Production deployments | 1–3 pilots | Case studies, few production | 11 platforms · 15 countries · live |
| Engagement response | Days–weeks | Weeks via BD layers | Architect on call in 48 hours |
| Listed-company posture | Private | Private partnership | NSE & BSE Main Board (NINSYS) |
| Regulated-industry coverage | Rare | Enterprise-grade | SOC 2 · ISO 27001 · HIPAA · GDPR · PCI DSS |
Where this lands first
300+
Certified Claude engineers
11
Platform products on Claude
6
Delivery phases — Claude in every one
48 hrs
Architect response time
How an engagement runs
Agentic Discovery
2 weeks
Workflow analysis, failure-mode mapping, escalation-path design, and an evaluation scaffolding plan. Output: a written agent spec with failure-first design.
Build + Shadow Mode
8–14 weeks
Iterative build with eval suite from week one. Agent runs in shadow mode (observes but does not act) for the second half — catching failure modes the eval set missed.
Live + Hardening
2–4 weeks
Graduated grant of action authority — start with low-consequence actions, expand based on observed performance. Hardening drills against adversarial scenarios. Rollback playbooks rehearsed.
Ready to talk to a Claude architect?
48-hour response from a senior architect. No BD-layer delay. The Readiness Assessment scopes the work and proposes named engineers.
Agentic AI Development Services — FAQ
Adjacent engagements
MCP Server Development Services
Targeting: mcp server development
RAG Architecture Development with Claude
Targeting: rag development services
Claude API Integration Services
Targeting: claude api integration
Claude Development Services
Targeting: claude development services
Claude AI Engineering Practice
Flagship — 300+ engineers, 11 platform products, 4 academy tracks
Talk to a Claude architect
Senior architect on the call in 48 hours. Walk away with a written assessment whether or not you engage.
Talk to a Claude Architect