Autonomous AI Agents that execute real work.
Multi-agent systems, deterministic state machine loops, LangGraph orchestration, and API tool-calling that perform end-to-end tasks rather than just generating chat answers.
Chatbots talk. Autonomous AI agents take action, coordinate tools, and complete real business workflows.
Single-turn LLM prompts break down when tasks require multi-step reasoning, external tool calls, and state persistence. Steigern Tech builds stateful agentic graphs with deterministic guardrails, structured memory, and human approval gates that prevent runaway loops.
Deterministic state machines
Stateful control graphs built on LangGraph that eliminate infinite loops and keep agent executions constrained to strict business rules.
Production tool-calling
Hardened API connectors interfacing directly with SQL databases, ERP systems, email inboxes, and payment gateways.
Human-in-the-loop approval
Automated pause checkpoints requiring human sign-off before high-risk database writes or financial transfers execute.
Six execution pillars, zero hallucinated actions.
Agentic systems thrive when partitioned into specialized roles: orchestrator agents plan execution, specialist agents query APIs, critic agents verify outputs, and human reviewers handle edge cases.
Multi-agent supervisor graphs
Decompose complex business problems into specialized sub-agents (researcher, coder, reviewer) coordinated by a master supervisor graph.
API & SQL function-calling
Equip agents with verified toolsets to query databases, trigger webhooks, update CRM contacts, and create invoices safely.
Policy verification & state rollbacks
Pre-execution policy checkers auditing proposed tool arguments against permission boundaries before state modifications take place.
Persistent memory & context caching
Maintain long-term contextual state across days of interaction using Redis, vector stores, and prompt summarization layers.
Slack & webhook approval gates
Interactive notifications requesting manager approval for edge cases, high-value orders, and external communications.
Scheduled crons & reactive triggers
Agents that wake up autonomously on schedule or upon webhook receipt to audit pipelines, summarize reports, and reconcile accounts.
From experimental prompts to autonomous execution, bounded and supervised.
We don't build unpredictable autonomous toys. We engineer deterministic agent systems with bounded execution graphs, rollback states, and strict expenditure limits.
Workflow decomposition
Break complex multi-step human operations into discrete deterministic tool actions, state boundaries, and decision trees.
State graph & memory design
Architect state schemas, short-term session context, long-term vector memory, and cyclic execution graph nodes in LangGraph.
API tool contract definition
Build strictly typed OpenAPI tool interfaces with sandboxed execution environments and rate-limiting controls.
Multi-agent prototype
Implement orchestrator-critic agent loop with mock tools and benchmark reasoning traces on representative tasks.
Human-in-the-loop gates
Deploy approval dashboards, token budget caps, rollback actions, and enterprise audit logs before production execution.
Telemetry & trace observability
Instrument LangSmith / Arize traces to profile agent decision trees, tool failure rates, and execution latency.
Workflow decomposition:Break complex multi-step human operations into discrete deterministic tool actions, state boundaries, and decision trees.
production multi-agent deployment with human approval gates and API connectors
trace analysis, reasoning path optimization, and prompt token budget tuning
Agent Outcomes that save hundreds of hours.
Autonomous systems that perform tedious cross-software workflows accurately, freeing human talent for high-leverage strategic thinking.
85% Reduction in multi-app manual work
Eliminating the need for employees to manually copy-paste data between emails, spreadsheets, CRMs, and accounting portals.
Zero unchecked transactional writes
Multi-signature verification preventing unauthorized modifications to sensitive database records or financial balances.
Self-healing error recovery
Agents automatically retry, roll back intermediate states, and attempt fallback routes when external third-party APIs fail.
Long-horizon process continuity
Resuming multi-day complex business workflows seamlessly without losing context or requiring user re-explanation.
Strict schema adherence
Guarantees that tool arguments adhere 100% to OpenAPI JSON contracts before calling backend microservices.
Full step-by-step audit logging
Every reasoning step, tool call, and state transition recorded in telemetry logs with LangSmith and Sentry.
Stateful agent frameworks engineered for deterministic execution.
We build with LangGraph, Pydantic, AutoGen, and LangSmith — focusing on explicit state machines and tool sandboxes rather than black-box autonomous loops.
Idea to Market–Ready Product
We turn your idea into a secure, compliant, and test-ready product in weeks, not months.
Inquiry & Scoping
We rapidly decompose requirements, pressure-test commercial viability, and align technical scope before capital is committed.
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Ready to build custom AI
that does real work?
Share your operational bottlenecks, dataset needs, or automation goals. An AI solutions architect will provide an architectural roadmap within 24 business hours.