Can agents take actions in our existing tools?

Yes. We integrate with APIs, CRMs, helpdesks, email, and databases using scoped credentials, logging, and optional human approval for sensitive actions.

How do you prevent agents from making mistakes?

We define allowed tools, validation rules, evaluation tests, escalation policies, and human-in-the-loop checkpoints for high-risk steps.

How do we get started with AI agent development?

Share a target workflow. We map steps, data access, and success metrics, then ship a supervised pilot before expanding autonomy.

Services

AI agent development for real business workflows with Nanostack

Nanostack builds production AI agents that plan, use tools, and complete multi-step work — not chatbots that only talk. We design agentic AI systems with memory, permissions, evaluation, and human oversight so automation is reliable across support, ops, sales, and product workflows.

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What we deliver

Practical capabilities designed to move from idea to production with clarity.

Agent design & orchestration

Single-task and multi-agent systems with planning, memory, retries, and clear success criteria for each workflow.

Tool use & integrations

Agents that safely call APIs, CRMs, ticketing, email, databases, and internal services with least-privilege access.

Guardrails & human-in-the-loop

Approval steps, audit logs, escalation paths, and policy checks for actions that change customer or financial data.

Production agent ops

Tracing, cost monitoring, failure recovery, and evaluation so agents improve instead of silently failing.

Where it creates value

Common engagement patterns we see across products and operations.

Support & ops agents

Triage tickets, draft replies, update systems of record, and escalate edge cases to humans.

Sales & research agents

Enrich leads, summarize accounts, prepare briefs, and keep CRM data current.

Engineering & data agents

Automate repetitive analysis, reporting, and internal developer workflows with supervised autonomy.

Multi-agent business processes

Coordinate specialist agents across intake, execution, QA, and notification steps.

Why teams choose Nanostack

Agentic AI designed for measurable workflow completion
Security-minded tool permissions and auditability
Senior engineers experienced with LangChain, LangGraph, and custom orchestrators
US-ready delivery with clear demos and milestones

How we work

Step 1

Discover

We map goals, constraints, and success metrics so the engagement starts with clarity.

Step 2

Design & build

We ship in short iterations with demos, feedback loops, and measurable milestones.

Step 3

Launch & improve

We deploy, monitor, and refine so outcomes keep improving after go-live.

Frequently asked questions

Chatbots primarily respond in conversation. AI agents can plan steps, use tools, update systems, and complete workflows — with guardrails and monitoring for production reliability.

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Ready to move forward with AI Agent Development?

Tell us about your goals — we'll propose a clear approach, team shape, and timeline.

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