§ Startup AI Launch Pack·safe AI adoption, fast

Put basic AI governance in place before usage spreads.

A fixed-fee starter pack for startups and small growth firms adopting AI faster than their policies, vendor reviews, and risk ownership can keep up. We give you the practical baseline: AI use-case inventory, acceptable-use policy, vendor review, lightweight risk register, and a roadmap workshop.

It is not a heavy compliance program. It is the minimum operating discipline a founder, COO, CTO, investor, or enterprise buyer can understand.

Scope the Launch Pack See deliverables $7.5k-$15k fixed · 2 to 3 weeks · optional advisory support
§ Fit·who this is for

Built for teams that need control without bureaucracy.

The Launch Pack is for teams already using AI in product, operations, sales, support, finance, HR, engineering, or research, but without one shared view of what is approved, risky, vendor-dependent, or customer-facing.

Symptom 01

AI is already in the workflow.

People are using copilots, AI SaaS, model APIs, or internal assistants before governance has a clear owner.

Symptom 02

Customers are starting to ask.

Enterprise buyers, investors, insurers, or partners want a credible answer on how AI is controlled.

Symptom 03

You need a practical first step.

You are not ready for enterprise governance, private AI, or a full managed program, but you need the basics in writing.

§ Deliverables·what you get

Five artifacts, one roadmap workshop.

The work is deliberately small enough to approve quickly and concrete enough to reuse in buyer questionnaires, investor diligence, vendor decisions, and internal AI operating rules.

AI use-case inventory
Inventory of the AI tools, copilots, model APIs, agents, and vendor systems your team is using or actively evaluating.
Week 1
Acceptable-use policy
A short policy that defines approved use, restricted data, review triggers, human oversight, and escalation paths.
Week 1-2
Vendor review
Priority review of the AI vendors most likely to touch sensitive data, customer workflows, or material business decisions.
Week 2
Lightweight risk register
Risk tiering, owners, mitigations, and open decisions for the use cases that should not stay informal.
Week 2
Roadmap workshop
A 90-day adoption and control roadmap: what to approve, what to pause, what to document, and what to revisit as the company grows.
Week 3
§ Timeline·2 to 3 weeks

Fast enough for startups, structured enough to matter.

We keep the cadence simple: scope, gather, draft, review, and hand off. The output is a working governance baseline, not a binder.

01 · Scope

Pick the use cases.

Agree the AI systems, vendors, and workflows in scope and the decision-makers who need the output.

02 · Gather

Build the inventory.

Collect the tools in use, data touched, owners, user groups, and customer or employee impact.

03 · Draft

Write the controls.

Draft the acceptable-use policy, vendor review, and lightweight risk register around your actual AI usage.

04 · Roadmap

Set the next 90 days.

Run the workshop and leave your team with practical priorities, owners, and evidence to keep current.

§ Boundaries·what this is not

Clear scope is what makes it buyable.

The Launch Pack is the first rung. If the work surfaces a larger deployment, a regulated evidence need, or a private AI requirement, we scope that separately.

Included

  • Use-case inventory and ownership map.
  • Acceptable-use policy and data-handling rules.
  • Vendor review for priority AI tools.
  • Risk register with practical tiers and owners.
  • One roadmap workshop and handoff readout.

Not included

  • Legal advice, certification, or audit attestation.
  • Private AI hosting, implementation, or MLOps support.
  • 24/7 monitoring, MDR, SOC, or incident response execution.
  • Enterprise governance operating model design.
  • Unlimited vendor reviews, systems, or workshops.
§ Evidence pack·sample contents

Enough documentation to answer the first serious question.

You should leave able to explain what AI you use, who owns it, what data it touches, which uses are restricted, and what decisions need review before the next growth stage.

What the packet is for

The packet is useful for internal leadership, investor diligence, security questionnaires, customer procurement, and deciding whether a more formal Growth AI Governance Pack or private AI architecture brief is justified.

Every artifact is advisory and point-in-time. It helps you govern and explain AI usage; it does not certify compliance or guarantee any buyer, investor, insurer, or auditor outcome.

A
Inventory table
System, vendor, owner, users, data touched, purpose, and status.
B
Risk register
Tier, concern, control, owner, and review date.
C
Policy set
Approved use, restricted use, human review, and escalation rules.
D
Roadmap
30/60/90-day actions with owner and evidence notes.
§ FAQ·before you scope

Common questions.

What does the Startup AI Launch Pack cost?

The fixed-fee range is $7,500 to $15,000, scoped before work starts. The final fee depends on the number of use cases, vendors, data types, and stakeholders in scope.

How long does it take?

Most Launch Pack engagements run two to three weeks. We keep the cadence short because the goal is a usable baseline, not a heavyweight program.

Is this only for AI companies?

No. It is for any startup or small growth firm using AI in product, operations, sales, support, finance, HR, engineering, or research.

What happens after the roadmap?

You can run the roadmap yourself, convert into light advisory support, move into the Growth AI Governance Pack, or scope implementation and private AI work if the business case is clear.

Do you certify that we are compliant?

No. This is readiness and governance consulting. We do not provide legal advice, issue certifications, guarantee audit outcomes, or attest compliance.

Can this help with enterprise customer diligence?

Yes, within reason. It gives you a clear story and evidence baseline for how AI is used and controlled. It does not replace a customer-specific security review or formal audit.

§ Guides·before you scope

Read the launch model.

Use these guides to decide whether a light Launch Pack is enough, or whether the next step should be Growth Governance, implementation, or private AI architecture.

Startup checklist

Minimum governance before AI usage spreads

The inventory, policy, vendor review, risk register, and evidence baseline a fast-growing team needs.

Growth model

When a startup baseline needs operating cadence

How ownership, risk tiers, vendor controls, and evidence upkeep turn a policy into a repeatable program.

Implementation

What happens after the roadmap

How policy decisions become workflow design, controls, evaluation, logging, and handoff.

§ Start here·fixed scope

Scope the Launch Pack.

Tell us what AI your team is using, where it touches sensitive data or customers, and what external pressure you need to answer. We will confirm whether the Launch Pack is the right first step.

Start scoping

DSE provides advisory AI governance and readiness consulting. We do not provide legal advice, certify compliance, guarantee buyer acceptance, or operate a 24/7 security or AI operations function under this package. All engagements are governed by a signed SOW / MSA.