Maple

The Maple Flagship · Layer 04

Agentic Governance.Where most deployments quietly fail.

Production agents drift. Prompts decay. Data triggers misfire. Reasoning quality slips. We don't hand off and disappear: Agentic Governance is the recurring practice that keeps the system improving every month.
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The dirty secret of agentic AI is that the launch isn't the hard part — the year after is. Models change. Customer behavior drifts. Data schemas shift upstream. Edge cases compound. Without an active operating discipline, the same agent that hit 92% deflection in week two is doing 67% by month nine — and nobody on the team noticed because there's no eval harness watching.

Agentic Governance is Maple's flagship recurring service. Monthly performance audits with the actual conversation data, prompt and reasoning-engine retuning, regression-tested releases, quarterly business reviews tied to measurable Agentic ROI, and a documented Build–Operate–Transfer path so your team can take it independent whenever you're ready.

Maple-operatedBuild-Operate-TransferMonthly subscription

What We Deliver

Specifically, in an engagement.

  • Monthly Agent Performance Audit: what each agent did, where it succeeded, where it failed, what to retune: surfaced as a written report with measurable deltas
  • Prompt + Atlas reasoning-engine optimization based on actual conversation data: not synthetic eval sets, real production transcripts
  • Eval framework + automated regression testing across releases so a tuning change can't silently regress a working flow
  • Quarterly Agentic ROI business reviews: hours saved, deflection rate, revenue influenced: quantified, not narrated
  • Incident response playbook with on-call escalation for production agent outages and quality regressions
  • Build–Operate–Transfer: full ownership handoff to your team when you're ready: documentation, runbooks, eval suite, all of it. No retainer trap.

How it Changes by Industry

Same architecture. Different tuning.

B2B SaaS

Track deflection drift, renewal-motion quality, and lifecycle agent precision. Stop renewal motions before they spiral.

FinTech

Compliance-aware audit logs of every agent action. Regulatory-ready monthly attestation that the agent did what it was supposed to.

HealthTech

PHI-handling validation, triage-quality measurement, and clinician-feedback loops baked into the monthly cadence.

How It Connects

The other layers in the stack.

Data Foundation

The data layer Agentic Governance keeps healthy and evolving alongside the agents above.

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Reasoning + Agents

The agents we're governing: Claude, Agentforce, Maven AGI in production.

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Experience Layer

Where governance signal lives: every customer interaction is a measurable touchpoint.

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Ready to architect your agentic stack?

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