Stack AI Agents

What you get

the numbers that matter

Starting price

Priced on scope

billed monthly

Ready in

≈ 2 weeks

signed to first PR

Retention

96%

engagements renewed

Match

96%

to your stack & domain

Enterprise agent platform from Stack AI for deploying governed agents connected to data sources, APIs and internal systems.

How this operator works

every way of working, already decided

A · capability focus

Owns the system, not the ticket

Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.

B · ways of working

Embedded, async-first, instrumented

Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.

C · reliability posture

Runbooks, canaries, reversible deploys

Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.

D · comms & cadence

Plugged into your Slack & rituals

Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.

E · tooling

Brings a pre-wired stack or adopts yours

Infrastructure and observability as code by default. No bespoke setup tax to absorb.

F · onboarding

Scoped, gated, reversible

Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.

Overview

Stack AI is an enterprise agent platform. Organisations use it to build and deploy governed agents that connect to data sources, APIs and internal systems - putting AI agents on internal work while keeping enterprise controls over what they access and do.

Through Scrums.com, Stack AI Agents is listed on the catalog and deployed by Scrums.com delivery teams. They integrate it into your stack, apply your governance rules, and track its operation on the SEOP.

What it does

Enterprise agent building

Agents are assembled on a platform designed for enterprise deployment, not consumer experimentation.

Data source and API connections

Agents connect to the data sources and APIs that hold your business context.

Internal system integration

Agents reach internal systems, so the work they automate is real internal workflow, not just chat.

Governance controls

Access, permissions and behaviour sit under enterprise governance from the start.

Deploying it with Scrums.com

Scope. Scrums.com runs a fit assessment against your workflows and governance requirements, including the internal systems and data agents should reach and under what controls.
Integrate. Scrums.com engineers wire it into your repos, pipelines and tools with guardrails, connecting your data sources, APIs and internal systems with the agreed guardrails.
Operate. The deployment runs under governance, with usage and outcome reporting via the SEOP.

Commercial availability

Stack AI is sold by Stack AI as enterprise SaaS. Procurement runs through Stack AI; Scrums.com supports the commercial process as part of a deployment.

FAQs

How is this different from building agents in-house?

In-house builds mean owning the platform layer - integration, permissions, operations - yourselves. Stack AI provides that layer as a product; your effort goes into the agents, not the plumbing.

What does deployment need?

A Stack AI environment, access to the data sources, APIs and internal systems in scope, and an owner for agent governance on your side.

How is enterprise security handled?

Agent access is scoped through the platform's governance controls and your own system permissions. Scrums.com configures both together and reports operation via the SEOP.

What's included

in every engagement · no add-ons

✓Enterprise agent buildingincl.

✓Data source and API connectionsincl.

✓Internal system integrationincl.

✓Governance controlsincl.

Track record

deployments on real systems · anonymized

SectorSystemOutcomeSpanStatus

Fintechpayments-core ledger99.97% achieved14 mocomplete

Commercecheckout platform−38% incident rate9 mocomplete

Health SaaSdata plane0 SEV1 in 6 mo11 moactive

Logisticsrouting enginezero-downtime cutover7 mocomplete

AI infrainference clusterp99 −120 ms5 moactive

Works inside your stack

surfaces this operator binds to

SurfaceBindingDirectionAuth

Source controlgithub.com/<org>reviews + writesOIDC

CI / CDscm-flow · deploy-servicegates deploysOIDC

Observabilityotlp://collector:4317metrics + alertsmTLS

Commsslack://<workspace>standups, incidentsSSO

Secretsvault://scrums/op/<id>short-lived credsSPIFFE

On-callpagerduty://<org>primary / secondaryAPI token

Boundaries

what to deploy instead

Scoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →

Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.

Deployments

the only social proof we publish

402deploys

across 38 organizations

+24 last 30 days · median age 11.4 mo · retention 96%

Live telemetry

this operator's system surface

system map

signals · last 24h

deploys18

p99 latency112 ms

error rate0.02%

incidents0

Pricing

one number · one footnote

billed monthly

Priced on scope

All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.

Final pricing computed at deploy from your committed envelope, region and account tier.

FAQ

common questions

How is Stack AI Agents priced?+

Priced on scope. Request a quote and pricing is computed from the work envelope.

Is Stack AI Agents available now?+

Yes. It is published and deployable directly from the Scrums.com catalog.

Can a Stack AI Agents deployment be reversed?+

Yes. Deployments are reversible with a one-click swap inside the trial window.

Who provides Stack AI Agents?+

Stack AI, vetted by the Scrums.com platform.

How it compares

vs other agents

Option	From	Stack	Status
Stack AI Agents · this one	Priced on scope	agent · ai-agents · enterprise-agents	● available
Qdrant MCP Server	Priced on scope	mcp · qdrant · vector database	● available
Pinecone MCP Server	Priced on scope	mcp · pinecone · vector database	● available
Databricks SQL MCP Server	Priced on scope	mcp · databricks · sql	● available

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