OutcomeOps AI Assist
OutcomeOps LLC · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
OutcomeOps is the organizational intelligence layer your enterprise can query. Instead of asking engineers and architects to copy-paste sensitive code into hosted AI tools, OutcomeOps brings the AI to the context: deployed via Terraform into the customer's own AWS account, powered by Amazon Bedrock, with source code, ADRs, Confluence pages, Jira tickets, SharePoint documents, and Teams threads staying inside the customer's security perimeter.
At the core of the platform are workspaces. A workspace connects repositories, documentation systems, and ticketing tools into a single shared substrate every team can query together. OutcomeOps automatically generates code-maps from connected repositories and keeps them current as code evolves, with first-class language support for Java, TypeScript, Python, C# / .NET, and ABAP. Code-maps describe applications running anywhere - AWS, Azure, GCP, on-premises, or SAP - so teams can analyze and plan migrations from any source environment, even when OutcomeOps itself runs only on AWS. MCP server support is opt-in per query, letting teams selectively bring in real-time tool context from existing systems without expanding the platform's standing data access.
Show the rest of the publisher’s description (5 more lines)
One corpus. Every team. Security verifies an app follows your PII-handling standards from the code, with citations to the standard. Operations resolves production incidents in minutes by querying how the pipeline fits together, and if no runbook exists, OutcomeOps writes one from the code. Product turns shipped features into the gaps that still need stories, scoped against what the code actually does instead of a stale PRD. Compliance and audit check a system against your controls and get a cited answer, not a manual review. Architecture catches drift before it ships - asking whether a service still follows the ADRs that govern it returns a grounded answer, not a quarterly review. Engineering ships every AI coding agent (Copilot, Cursor, Claude Code, and OutcomeOps' own Jira-to-PR generation) against one architecture, with every PR checked against your ADRs before a human looks.
When the documentation says one thing and the code says another, the code wins and the discrepancy gets surfaced before anyone acts on it. Every answer is anchored to your repositories as they exist right now, with citations to the code-maps and documents the model actually used. No more engineers shipping bad code because they followed a wiki nobody had updated since the last reorg.
OutcomeOps composes with the AI coding tools your engineers already use. Copilot, Cursor, Claude Code, and AWS Kiro all connect to OutcomeOps over the Model Context Protocol, so every AI-generated pull request is grounded in your ADRs, your architecture standards, and your organization's actual codebase, regardless of which IDE the engineer chose. Local spec-driven tools optimize the file. OutcomeOps ensures they optimize for your organization.
OutcomeOps is built for organizations where data sovereignty is a requirement, not a preference: aerospace, defense, healthcare, financial services, insurance, and other regulated industries that cannot put proprietary code into multi-tenant AI services. The platform is single-tenant by design. Customers own the infrastructure after deployment, control their own AWS account, and decide independently when and how to upgrade. Every inference call is governed by your existing AWS controls (IAM, VPC isolation, CloudTrail, KMS) and lands in your own audit trail. The complete usage stream - every interaction, every refusal, every dollar of spend - exports to your SIEM in OCSF for ingestion into the security and compliance tooling you already run. Phone-home licensing transmits only PR count and repository count, never code or PII, and can be disabled entirely for fully air-gapped operation.
The pipeline is the guardrail. The intelligence layer is what makes sure the pipeline has something worth shipping.
Highlights
Highlighted by the publisher on AWS Marketplace.
OutcomeOps ingests your ADRs, code-maps, Confluence, design docs, compliance frameworks, and runbooks into a single substrate every team can query. Security verifies an app follows your PII standards. Operations resolves incidents in minutes. Product turns shipped features into the gaps that still need stories. Same corpus. Different answer shapes per role. Every claim cites its source. Not just developers - the whole organization gets outcomes.
When the documentation says one thing and the code says another, the code wins and the discrepancy gets surfaced before anyone acts on it. Every answer is anchored to your repositories as they exist right now, with citations to the code-maps and documents the model actually used. No more engineers shipping bad code because they trusted a runbook nobody had updated in two years.
OutcomeOps deploys via Terraform into your AWS account and runs entirely on Amazon Bedrock inside your trust boundary. Every interaction lands in your cloud under your KMS keys: who asked, what was retrieved, what came back, what it cost. Refusal alerts fire in real time. Per-workspace budget thresholds catch runaway spend before it burns. The whole stream exports to your SIEM in OCSF. Your audit trail lives where your auditors work.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
All sales are final. OutcomeOps does not offer refunds for purchases made through AWS Marketplace except as required by applicable law or as expressly provided in a Private Offer agreement. Customers experiencing product issues should contact support@outcomeops.ai or open a ticket at https://outcomeops.atlassian.net/servicedesk/customer/portal/1 within 30 days of purchase. We will work in good faith to resolve issues and may, at our discretion, issue a partial or full refund.
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.