Consulting
AI Security Sales Enablement
Schedule a focused technical conversation that scopes your AI product risk, identifies the right advisory track, and translates your needs into a practical engagement proposal.
Selected service
AI Security Sales Enablement
A workshop-first evidence sprint for AI-enabled products, designed to help sales, SE, product, legal, and security teams answer enterprise AI-security questions without improvisation.
Duration
5–10 business days (up to 2–4 weeks)
Deliverables
6 implementation-grade outputs
Rate
Scoped after discovery
What we cover
- Buyer FAQ
- Questionnaire answer bank
- Model and provider boundary statement
- Claim-readiness notes
- Evidence pack
Scoping workflow
Collect the details before the call.
Use the service-specific intake below to collect the organization profile, stakeholders, systems, and files we need in advance. The same workspace data can later be managed from your client portal.
Structured intake
Turn this into a scoped engagement.
This form captures the organization details, stakeholders, systems, and assets we need before the scoping review. It saves into your client workspace so the same record can be updated later from your account area.
What we ask
- What is triggering the need for governance evidence or operational uplift now?
- Which buyers, auditors, or regulators are asking for evidence?
- Where do ownership, logging, or incident response gaps still exist?
- Which questionnaires, policies, or control matrices should we review first?
What to upload
- Trust center or public security language
- Security questionnaire samples
- Policy pack, control map, or governance notes
- Incident response or detection references
- Any board, procurement, or audit deadline details
Organization profile
Project details
Stakeholders
Who should receive the proposal, notes, and next steps?
Add at least one stakeholder so we know who to include in the follow-up.
Uploads
Add files, screenshots, or text artifacts before the call.
No uploads yet. Screenshots, docs, questionnaire exports, and notes can all be added here.
Saving writes this draft into your workspace profile. Nothing has been saved yet.
What we cover in the call
- • Your AI architecture, data sources, and model supply chain.
- • Risk profile for RAG, agents, prompt injection, and tool access.
- • Desired outcomes, timeline, and delivery constraints.
- • Recommended engagement format and next steps.
Typical duration
30 minutes
If you’re preparing:
- • A short summary of your AI program or feature.
- • Key risk concerns or audit requirements.
- • Current controls, telemetry, and team structure.