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Month One / AI discovery, training & platform deployment

Four weeks to establish control, fluency, and a buildable roadmap.

Deploy the platforms. Train the teams. Map the workflows. Build only what discovery validates.

Plan Month One ↗
4 weeksOne focused engagement
120 hoursMinimum expert delivery
3 ownersImplementation, discovery, architecture
$27,000Base monthly engagement
Why the sequence matters

Training and discovery before custom build.

Building before teams understand the platforms produces shelved prototypes and unclear ROI. Month One creates the conditions to choose and build the right things.

The old approach
  • Jump directly to use cases
  • Prototype before teams know the tools
  • Architect without discovery
  • Hope adoption follows
The Alloy approach
  • Deploy platforms, then train teams
  • Discover workflows across departments
  • Map skills, connectors, and prerequisites
  • Build what evidence validates
Three parallel tracks
01

Deploy & govern

Configure foundation-model platforms and coding agents for enterprise use: identity, access, data controls, governance, repositories, and responsible-use foundations.

02

Train & enable

Live, role-based training for business teams, engineers, leaders, and champions—grounded in the platforms and workflows they will actually use.

03

Discover & map

Department-level discovery that identifies repeatable AI skills, maps required connectors and prerequisites, and produces a sequenced Phase Two roadmap.

Working outputs

Not a report.
An operating foundation.

Artifacts are built for the people who must approve, operate, extend, and govern the capability after Month One.

  1. 01Platform deployment report
  2. 02Operating model v1.0
  3. 03Responsible AI policy v1.0
  4. 04Training delivery log
  5. 05Discovery & capability map
  6. 06Reference architecture v1.0
  7. 07Adoption & readiness snapshot
  8. 08Phase Two roadmap
Your delivery team

Three accountable owners.
One integrated engagement.

01

Implementation owner

Platform deployment, configuration, governance setup

10+ hours / week
02

Discovery owner

Strategy, live training, and workflow discovery

10+ hours / week
03

Architecture owner

Integration planning and reference architecture

10+ hours / week
Readiness gate

Administrative access is a prerequisite, not a nice-to-have.

We surface permission and ownership blockers before they delay the engagement. The right sponsors, platform owners, security partners, and representative users participate from kickoff.

PlatformRequired accessEnables
ChatGPT Enterprise / TeamWorkspace Owner

SSO, seats, data controls, custom GPTs

ClaudeOrganization Owner

Team management, permissions, API access

SnowflakeAccountAdmin

Warehouses, roles, governed data sharing

AWS / Azure / GCPAdmin or IAM

Infrastructure, networking, service accounts

GitHub / source controlOrg Admin

Coding-agent integrations and repository access

Procurement path

Clear next steps.
No theater.

  1. 01Signed NDA
  2. 02Technology and permissions review
  3. 03Contract
  4. 04Kickoff
Start the conversation ↗