Runs fail halfway with no clear recovery path.
Reliable execution & operations
Engineer the runtime your agent needs after the demo.
When orchestration, state, retries, evaluation, observability, security, cost, and operations are weak, a working agent becomes a fragile product dependency. GridArray engineers that production infrastructure under AI Production Engineering.
The production problem
The agent cannot reliably hold under production conditions.
Demos hide partial failures, ambiguous state, invisible quality, and operator blind spots. As soon as a real workflow depends on the system, those gaps become product and operational risk. Production infrastructure is the engineering that keeps each run controlled, measurable, and recoverable.
State is implied by prompts instead of explicit workflow control.
Quality is judged by spot checks rather than release gates.
Operators cannot replay, inspect, or contain a bad run.
Latency, cost, and security controls arrive after incidents.
What GridArray engineers
What GridArray engineers for production agent infrastructure
We harden the execution and operating layer around one real multi-step workflow so the system can be released, observed, and improved with evidence.
Orchestration and state
Multi-step agents need explicit control over task boundaries, handoffs, and durable state. We engineer those controls so a run can pause, resume, or fail without becoming opaque.
- Task and handoff boundaries
- Durable workflow state
- Human review checkpoints where needed
Retries and failure recovery
Transient failures are normal. Unbounded retries and silent degradation are not. We design recovery that matches the risk of the action and keeps operators in the loop.
- Bounded retries and backoff
- Failure classification
- Recovery paths operators can trust
Evaluation and observability
If quality and behavior are invisible, release confidence is theatre. We add evaluation gates, traces, and replay so teams can see what the system did and why.
- Release and regression evaluation
- Traces and replayable runs
- Operator-visible quality signals
Security, cost, and operations
Production means the system must remain safe and operable under load. We engineer security boundaries, latency and cost controls, and incident handling into the same delivery path.
- Security and permission boundaries
- Latency and cost controls
- Incident and operator controls
Engagement boundaries
Engagement boundaries
We start from a working agent or multi-step workflow with a concrete production blocker, not greenfield ideation.
We do not sell thin wrappers, prompt-only packages, broad platform rewrites without a workflow boundary, or generic staff augmentation.
Infrastructure work stays connected to the workflow's data, access, and operating conditions, including when MCP tools are involved.
The offer remains AI Production Engineering across context, access, execution, and operations.
This page qualifies work under AI Production Engineering.
FAQ
Questions teams ask before they book.
Is better prompting enough for production agents?
No. Prompt quality matters, but production depends on orchestration, state, evaluation, observability, security, cost, and operator control. Those are engineering systems, not prompt edits.
Do we need a full platform rewrite?
Usually not. We focus on the highest-risk production gaps in the workflow you already have, then harden in reviewable increments with visible evidence.
How does this relate to agent-ready data?
Execution without trustworthy context is still fragile. The two concerns fail together, which is why both sit inside one AI Production Engineering engagement.
What does the readiness call produce?
A structured diagnostic across context, access, execution, evaluation, operations, and risk, plus a one-page readiness scorecard that clarifies the next engineering path.
Related guides
Go deeper on the technical path.
Evidence
Related production work.
Connected problem
The other production gap.
AI production readiness call
Know what stands between your agent workflow and dependable production.
A focused diagnostic across context, access, execution, evaluation, operations, and risk. You leave with a one-page readiness scorecard.
Book a readiness call