Solution architecture for the agentic era.
firz.io is a progressive IT consulting firm. We help enterprises make informed tradeoffs when implementing AI in production — from multi-agent orchestration and MCP integration to structured outputs, context management, and human-in-the-loop governance.
From discovery to steady-state operations.
Discover & architect
Map production constraints, integration surfaces, and where agents earn autonomy vs where humans must decide.
Integrate & prove
Stand up MCP tools, agent loops, and workflows against real data — measure tradeoffs, not slide-deck demos.
Harden & govern
Error taxonomy, policy hooks, observability, and escalation paths that hold under load and audit.
Operate & evolve
Runbooks, session continuity, and iterative refinement as models, tools, and business rules change.
What we bring to every engagement.
Our practice maps to the disciplines required for production-grade systems — not experimental chatbots.
Agentic architecture & orchestration
Agent loops, coordinator–subagent patterns, task decomposition, session state, and hooks for deterministic enforcement when policy demands it.
Tool design & MCP integration
Clear tool boundaries, structured errors, scoped tool access per agent, and MCP servers wired to your APIs, data, and content catalogs.
Workflow & engineering tooling
Team-wide AI development practices — shared skills, repository context, MCP in the SDLC, and integration into existing pipelines.
Prompt engineering & structured output
Schemas, few-shot patterns, extraction pipelines, and prompts that produce actionable output — not conversational dead ends.
Context & reliability
Long-document strategies, multi-turn handoffs, observability, retry discipline, and human-in-the-loop escalation design.
Production judgment
We optimize for informed tradeoffs in live systems — not proofs of concept that collapse under real ambiguity.
Architecture before automation
Orchestration, tool boundaries, and context design come first. Automation follows a clear structural model.
Governance by design
When compliance is non-negotiable, we use enforcement mechanisms — not prompt instructions alone.
Humans where it matters
Agents handle volume and speed; people retain authority on policy, exceptions, and accountability.