THE AGENTIC SDLC PLATFORM

The control plane
for the Agentic SDLC.

Build. Govern. Operate. Every enterprise agent.

Crescendent connects intent, agents, MCP tools, permissions, evidence and runtime behaviour into one governed lifecycle.

Intent → Authority → Evidence

THREE PILLARS01 — 03
Change review agent

From request to accountable execution

BUILD · Design, discover and deliver governed agents

Blueprint · Catalog · Build

Live01
GOVERN · Control identity, authority, risk and evidence

Control Tower · Compliance

Live02
OPERATE · Observe, evaluate and safely interact with production agents

Chat

Live03
Five stages inside: Plan · Design · Build · Govern · OperateIllustrative workflow
THREE PILLARS OUTSIDE · FIVE STAGES INSIDE
BUILD·GOVERN·OPERATE

Plan · Design · Build · Govern · Operate inside

THREE PILLARS

Build. Govern.
Operate.

Enterprises know what their agents can do. They cannot prove why they are allowed to do it. Crescendent connects intent to authority to evidence.

BUILDLive

Design, discover and deliver governed agents

  • Specifications and design records that stay connected to the work.
  • One catalog of agents, MCP servers and skills your organisation may use.
  • Coding runs, tests, scans and deployments recorded with their evidence.

Stages: Plan · Design · Build

GOVERNLive

Control identity, authority, risk and evidence

  • Every agent, MCP server, gateway, tool and skill in one view, with its evidence chain and the gaps in it.
  • Usage and cost per run with its basis, rolled up for leadership; policies and gateways as synced from the runtime.
  • Regulatory knowledge & posture: which instruments apply to each agent, skill and MCP server, with citations and a named approval.

Stages: Govern

OPERATELive

Observe, evaluate and safely interact with production agents

  • A governed chat front door for deployed agents, live for platform users.
  • Runtime signals, risk posture and traffic control for deployed agents arrive in Control Tower (designed).
  • Today: deployment records, the Control Tower run ledger and links to runtime observability.

Stages: Operate

THE AGENT EVIDENCE GRAPH

Know why an agent
is allowed to act.

Requirement, agent, MCP server, tool, policy, evaluation, approval and deployment are linked records. The reasoning stays available when the workflow changes. Runtime trace joins the graph on the roadmap.

  1. 01Requirement

    Why the agent exists

  2. 02Agent

    Owner, status, specification

  3. 03MCP server

    Transport, scopes, owner

  4. 04Tool

    Permitted operation

  5. 05Policy

    Permitting statement, enforced or log-only

  6. 06Evaluation

    Cases and results

  7. 07Approval

    Named approver, decision

  8. 08Deployment

    Release to the runtime

  9. 09Trace (roadmap)

    Runtime behaviour (roadmap)

Example question

“Why was Agent X allowed to call CreatePurchaseOrder yesterday?”

  1. UserWho initiated the request
  2. AgentWhich agent record acted
  3. Delegated identityOn whose behalf it acteddesigned
  4. MCP serverWhich server exposed the tool
  5. ToolWhich operation was permitted
  6. PolicyWhich permitting statement applied
  7. ApproverWho approved the permission
  8. RequirementWhich requirement motivated it
  9. EvaluationWhich cases proved the behaviour
  10. ReleaseWhich deployment carried it
  11. TraceWhat actually happened at runtimeroadmap
Explore security & governance
Release decision recordExample

CHANGE REVIEW AGENT / RELEASE 0.3

Ready for owner review

IntentDraft changes; require approval to apply
AccessRead project · propose patch
EvaluationExpected, boundary, and failure cases
RecoveryResume from reviewed checkpoint
Decision owner: release lead

Live links today: requirement → design decision → access boundary → implementation → evaluation → approval → deployment. Runtime trace: roadmap.

THE CRESCENDENT SUITE

Six products.
Three pillars.

Explore all products

FIVE STAGES INSIDE

Every stage.
Working in concert.

The three pillars package the platform. Inside, five lifecycle stages carry the decisions, controls and evidence from plan to operation.

Define intent

Make the objective executable.

Turn a business request into a delivery plan with explicit requirements, ownership, evidence needs, and cost assumptions.

Explore define intent
CONNECTED EVIDENCE
01Workflow brief
02Requirements register
03Cost assumptions

A reviewable plan before the first tool call.

BUILD · CODING EXPERT

From approved specification
to pull request.

The Coding Expert is the first platform base agent, powered by Claude on Amazon Bedrock. Give it an approved specification, optionally the Jira work items, and it plans, implements, runs the tests and opens a pull request that reads like your engineers wrote it. You review and merge.

Starts from the approved spec

A coding run begins from an approved Blueprint specification version. Jira work items are optional, so a spec-only run is enough to start.

Runs in an isolated session

Each run gets one isolated Amazon Bedrock AgentCore session in the platform account, with a persistent workspace that resumes across restarts. Nothing runs in your AWS account.

Publishes like an engineer

Commits are authored as your engineer and the pull request carries a Summary, Changes, How it was tested and Linked issues. An attribution lint is a hard gate before publish, and the Coding Expert never merges.

Bounded and observable

Budget, turns, duration and concurrency are set per space. Every run keeps its events, plan, diff summary, test report and logs as a coding run record.

Coding run recordIllustrative

PLATFORM BASE AGENT / CODING RUN

Pull request open for review

InputApproved specification · Jira optional
WorkspaceOne isolated session in the platform account
VerificationTests run in the workspace
OutputBranch and pull request
LimitsBudget, turns, duration
Your reviewers merge

Illustrative record.

Source control: GitHub available; GitHub Enterprise Server, Bitbucket Cloud and Bitbucket Data Center in preview. Connect with a token; no marketplace app.

EVERY RUNTIME, READ-ONLY

Your runtimes stay yours.
The control model is the same.

Runtimes are connected as read-only inventory; nothing runs there. The platform records what is deployed, by whom and with which evidence.

Available today

Amazon Bedrock AgentCore

Read-only inventory of agents, runtimes, gateways, MCP tools, memory and policy engines; deployments recorded with their evidence.

Next

Azure AI Foundry

The same read-only sync and deployment records for agents hosted in Azure.

Designed for

Heterogeneous agent estates

Frameworks, clouds, MCP ecosystems: one control model, runtime-agnostic.

How you buy itAWS MarketplaceRoadmap Subscribe and buy through AWS Marketplace with your existing AWS agreement; annual contracts and private offers. Roadmap.

FROM YOUR FIRST AGENT TO OPERATIONS

Move the work forward.
Keep the context.

Practical workflows for the teams that plan, build, secure, and operate agents.

START READ-ONLY

Start with a 14-day
estate assessment.

Grant a read-only role, see your whole agent estate, and decide the first bounded workflow with evidence in hand. Nothing runs in your accounts.