● Hardening Sprint

Multi-User Agent Hardening Sprint.

Stabilize the AI system you already have and fix the controls that matter first.

Book a Hardening Sprint → Take the Scorecard

§01

When the system is already live.

You already have something running. The problem is that it is fragile, hard to trace, or expensive to operate. This sprint focuses on the highest-risk gaps first so the system becomes safer, easier to debug, and more reliable under load.

§02

What we fix

01 Model access scattered across services
02 Prompts and configs that are hard to change safely
03 Weak or inconsistent input and output guardrails
04 Tool and MCP permissions that are too broad
05 Missing traces, dashboards, and alerting
06 Thin or nonexistent eval coverage
07 Cost exposure from loops, retries, or fan-out

§03

What we do

01 Centralize model access and config where needed
02 Tighten tool auth, scopes, and permissions
03 Add pre and post guardrails around key flows
04 Instrument traces, dashboards, and alerts
05 Build release evals and regression checks
06 Add budget controls and containment paths

§04

What you get

01 Hardened architecture with implemented fixes
02 Updated scorecard and risk register
03 Dashboards, alerts, and trace coverage
04 Eval harness and release checklist
05 Operating notes for your team

§05

Best for

01 Customer-facing beta or production systems
02 Internal systems now shared across teams
03 AI products with incident history or rising spend
04 Teams that need focused execution, not open-ended advisory

Fix the weak points before they turn into incidents.

We focus on the controls that reduce risk fastest and improve day-to-day operability.

Book a Hardening Sprint →