99.9% monthly uptime on the managed framework. P1 incidents acknowledged within 15 minutes, with runbooks and postmortems shared after each incident. Monthly service reviews go through uptime, incident trends, and improvement actions.

Agentic Ops | Managed AI agent operations on AWS

Q: What counts as one agent for billing?

A persona bundles a named role, a prompt library, a guardrail set, and an IAM identity. We bill per persona, not per user seat or per call. Adding team members or increasing interaction volume inside the same persona does not change pricing.

Q: Can our developers still iterate fast?

Developers keep working in Git. Prompts, context limits, and guardrails are code. Promotion to production is CI/CD-gated so day-to-day iteration is unchanged. We review gated promotions, not every commit.

Q: Who sees our prompts and data?

Prompts live in your own Git repositories. Agent execution stays inside your AWS account, running under engineer-scoped IAM identities, not shared service accounts. Our operations team accesses only through federated roles you provision and can revoke.

Q: What happens when we want to change models?

The managed framework abstracts the provider. Switching models (Bedrock, Anthropic, OpenAI, or local) is a configuration change, not a rewrite of the agents. We roll the change out and regression-test across your personas.

Q: Can we bring our own model API keys?

Yes. You can bring your own API keys for Anthropic, OpenAI, or other providers, or use AWS Bedrock under your AWS account. Either way, traffic routes through the managed framework so guardrails, audit trail, and cost controls apply identically.

Agentic Ops. The Factory's layer for persona-driven AI agents.

Define personas, govern prompts, operate agents. Engineer-identity execution, version-controlled Git, misuse detection baked in.

Inherits the AI Factory's guardrails, compliance posture, and 24/7 operations. Your team builds the personas that matter to your product.

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What you get

Engineer-identity agents

Every agent executes under the triggering engineer's IAM role. CloudTrail shows who did what. No shared service accounts.

Version-controlled prompts

Prompt libraries, context limits, and per-persona guardrails live in Git. Promoted through CI/CD. Every change reviewable.

Persona library

Named roles (coding, compliance, support) with shared prompts, scoped capabilities, and agreed guardrails. Add personas without re-architecting.

Misuse detection

The recommendation agent watches prompt patterns and flags injection, scope drift, and off-task usage before release.

Model abstraction

Switch between Bedrock, Anthropic, OpenAI, or open-weights hosted in your AWS. Configuration change, not a rewrite.

Prompt regression testing

Evaluation harness runs candidate prompts against fixed test sets. Quality and cost scored before production promotion.

Everything included. Fixed monthly fee.

Persona engineering

Prompt library and persona scaffolding
Git-based prompt promotion pipeline
Per-persona capability and scope boundaries
Integration of new models and tools
Advisory on agent architecture

Agent operations

24/7 runtime oversight of agent health
Cost and rate-limit controls per persona
Incident response for agent failures
Evaluation harness runs per release
Model-switch rollouts and regression testing

Observability and audit

Every prompt, response, and tool call logged
Per-engineer attribution on every action
Misuse detection and recommendation agent
Evidence trail into the Factory's evidence lake
Compliance artefacts for ISO 27001 and CPS 234

How it works

Agentic Ops is not a project. It runs alongside your product team, week after week.

Assess

We map your current agents, personas, and guardrail gaps. Onboarding and ongoing.

Build

Prompt libraries, identity scaffolding, and per-persona guardrails. Foundations your team extends.

Operate

24/7 runtime oversight. Cost, accuracy, and misuse monitored. Incidents handled before you see them.

Improve

Weekly iterations on prompts, policies, and tooling. Framework updates folded in continuously.

Audited and certified

AWS Advanced Partner

ISO 27001 Certified

AWS SaaS Competency

See Agentic Ops running in your environment.

Walk us through your agent roadmap and we will scope the onboarding.

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Frequently asked questions

What counts as one agent for billing?

A persona is the unit. Adding seats or interactions inside the same persona does not change pricing.

Can our developers still iterate fast?

Yes. Developers define personas and push prompt changes through normal Git flow.

Who sees our prompts and data?

Only your team. Prompts live in your Git. Agents run in your AWS under your engineers' identities.

What happens when we want to change models?

Switching between Bedrock, Anthropic, or OpenAI is a configuration change, not a rewrite.

What is the SLA?

99.9% monthly uptime. P1 incidents acknowledged within 15 minutes.

Can we bring our own model API keys?

Yes. Bring your own provider keys or use AWS Bedrock. Both route through the same guardrails and audit trail.

Agentic Ops on AWS

Managed operations for persona-driven AI agents. Prompt libraries, guardrails, audit trails, and 24/7 operations. Fixed monthly fee. Agents run inside your own tenancy.