MCP and tool contracts, not prompt hope
Every external action maps to typed tool schemas, MCP-ready where appropriate, with timeouts, idempotency rules, and explicit failure modes.
AI Agents
Autonomous agents that execute enterprise work, not chat demos.
Autonomous agents, multi-agent systems, tool use, and agent orchestration with human gates, MCP-ready integrations, and production observability.
Perspective
From chat interfaces to accountable action
Enterprise leaders do not need another chatbot. They need systems that intake requests, gather context, call internal APIs via MCP and tool contracts, draft outputs, and route exceptions, under explicit policy and with a record of every step.
InheritX designs agentic architectures around your operational reality: which tools exist, which actions require human approval, and where autonomy stops. Agents are observable workers, not opaque oracles.
Multi-agent patterns decompose complex workflows, research, triage, fulfillment, into specialized roles with shared memory, structured handoffs, and evaluation harnesses that catch regressions before production traffic does.
Capabilities
Principles we enforce
Human gates on consequential actions
Payments, policy changes, customer commitments, and data exports pause for approval with full context attached.
Memory and traceable reasoning
Persistent memory, step-level logs, tool I/O capture, and replay tooling so operators can diagnose misfires without guesswork.
Cost and loop controls
Iteration budgets, model tiering, and circuit breakers prevent runaway token spend on stuck agent loops.
Capabilities
Agent surfaces beyond text chat
Same control plane, typed tools, HITL, and traces, applied to channels and runtimes enterprises now ask for by name.
Voice / real-time conversational AI
Telephony and real-time assistants with barge-in, latency budgets, and the same tool contracts and approval gates as text agents.
Computer-use and browser agents
Bounded UI automation where APIs do not exist, scoped credentials, step limits, and human publish on irreversible actions.
Real-time multimodal agents
Vision, voice, and tools in one loop for ops floors and service desks, still evaluated and logged like any other worker.
Long-running agent workflows
Checkpointed cases that outlive a single model call, durable orchestration (e.g. Temporal / Prefect) with human review stages.
How we engage
Agent delivery sequence
We ship narrow, high-value agent lanes before expanding orchestration breadth.
01
Workflow decomposition
Map the human process today, inputs, decisions, systems touched, and exception paths, before naming any agent roles.
02
Tooling & permission model
Wire MCP-ready or native integrations with least-privilege credentials scoped to each agent persona.
03
Single-agent pilot
Prove one lane end-to-end with evaluation datasets drawn from real cases, including edge and failure scenarios.
04
Multi-agent orchestration
Introduce supervisor and specialist agents with shared state, conflict resolution, and escalation to human queues.
05
Production hardening
Load testing, observability dashboards, on-call runbooks, and continuous eval in CI before full rollout.
Observable
Every tool call logged & replayable
Bounded
Autonomy limits by action class
Integrated
ERP, CRM, ticketing, custom APIs
Evaluated
Golden paths before each release
Fit
Agent pattern selection
High-volume triage with clear routing rules
Supervisor agent + specialist workers with queue handoff
Research across multiple internal sources
Planner agent with retrieval sub-agents and citation assembly
Long-running case work with state
Stateful agent with checkpointed memory and human review stages
Customer-facing actions with compliance risk
Draft-only agent with mandatory human publish step
Continue
Explore further
FAQ
AI Agents FAQ
Agents reason over unstructured context and adapt within policy bounds; we still integrate with deterministic automation where reliability demands it.
Yes, via APIs, message buses, or controlled UI automation, scoped by tool contracts and approval rules you define.
Exception queues, rollback hooks, and eval alerts limit blast radius; high-risk paths never auto-commit without human sign-off.
Voice and real-time channels use the same agent runtime, tool policy, and audit trail as text. We add them when the workflow actually needs a phone or live audio path, not as a demo overlay.
Next step
Map this capability to your mandate.
A focused strategy conversation, constraints, systems, and what production readiness looks like for your organization.