How Naptic builds AI agents
Naptic works in four steps: find the 3 to 5 workflows worth automating, build a working proof of concept, deploy the agents on AWS, isolated for your company, then scale to more workflows. You approve the plan and every change before it ships, and your data stays yours.
02/Agentic Design
Autonomous AI systems built to work alongside your team.
Agents that understand context, reason through problems, and act without constant human input.
Built-in checkpoints where humans review, approve, or redirect agent actions.
Local LLM options for sensitive data. SOC 2 compliance. Your code and data stay yours.
Every agent maps to a business problem with defined success metrics and payback period.
Agent Types We Build
Knowledge & Retrieval Agents
Semantic search over your proprietary data — answers, patterns, and insights without hallucination.
Workflow & Orchestration Agents
Multi-step automation with logic, error handling, and human escalation across systems.
Distributed Coding Agents
Agents that write, test, and deploy code — a force multiplier for your engineering team.
BRINGING THE HUMAN INTELLIGENCE TO POWER AI
03/How Agents Think
ReAct Pattern
Reason + Act
Example: Piper fields a vendor invoice query → searches 3 years of financial records → detects a duplicate charge from Q2 → flags it for approval → files the dispute with the vendor once a person signs off.
Reflection Pattern
Self-Correcting Loops
Example: A scheduling agent drafts next week's staff roster → detects a compliance gap on the Friday overnight shift → revises the draft, swaps two employees, rechecks labor law constraints → outputs a clean, compliant schedule.
Tool Use Pattern
Function Calling
Example: A customer escalation comes in → agent pulls order history from Shopify, checks live inventory in NetSuite, reads the refund policy doc, drafts a personalized resolution email, and logs the outcome in HubSpot — four systems, one fluid action.
Chain-of-Thought Pattern
Structured Reasoning
Example: Before quoting a new client, an agent reasons through: market segment → comparable past projects → current team capacity → risk factors → produces a scoped proposal with a confidence-weighted price range, ready for human sign-off.