Stop Spending on AI Experiments.

Start Engineering Enterprise Outcomes.

You’ve invested in foundation models and platform licenses, but moving from pilots to production value has stalled. Governance friction, architecture debt, and uneven workforce adoption are leaving enterprise investments underutilized.

Fixed-fee · Full autonomy to proceed or stop · 100% client IP ownership

Why Enterprise AI Stalls

We provide a structured, de-risked system connecting platform engineering, zero-trust governance, and workforce enablement to measurable business performance.

Pilot Paralysis

Ad-hoc experiments that fail to scale into mission-critical workflows.

The Adoption Gap

Expensive tool deployments that lack employee trust and workflow redesign.

Consulting Drift

Open-ended advisory retainers delivering strategy decks instead of working software.

The AI Transformation Journey

5 Controlled Stages. Concrete Deliverables. 100% Client IP Ownership.

Every stage pairs a production-grade asset with the organizational capability your teams need to operate it independently. You can exit at any stage with full IP and code ownership.

01 Assess

Enterprise Diagnostic Readout

Tangible deliverables
  • LEVERS Model friction heat map (Leadership, Enablement, Ecosystem, Values, Rewards, Structure)
  • Workforce proficiency baseline
  • Zero-trust security & adoption barrier assessment
  • Prioritized 90-day execution roadmap
Strategic capability & impact

Isolates operational and architectural bottlenecks across data, workflows, and talent before capital is deployed.

Commitment Fixed-Fee (3–4 Weeks)
Off-ramp Full autonomy to proceed or stop.
Journey progress Stage 01 of 05

Built for Every Stakeholder

Multi-Cloud & Agnostic

Native deployment across AWS, Azure, Google Cloud, or private VPCs.

Open Interoperability

Secure REST/gRPC integration into ERP (SAP), CRM (Salesforce), and data lakes (Snowflake, Databricks).

Zero Technical Lock-in

Open-source and modular frameworks; you own all pipelines and custom code.

Zero Data Retention

Prompts and enterprise data are never used to train public foundation models.

Deterministic Guardrails

Native prompt-injection defense, automated PII/PHI masking, and granular RBAC.

Compliance Ready

Designed to align with SOC 2 Type II, ISO 27001, HIPAA, and EU AI Act requirements.

Augmentation Focus

AI handles administrative toil; employees focus on higher-margin craft.

In-Workflow Enablement

Role-specific training and hands-on enablement embedded in daily business functions.

Tiered Upskilling

Tailored curricula taking teams from initial tool adoption to sustained operational efficiency.

Predictable Capital Allocation

Fixed-fee milestones and clear token/inference cost projections.

Hard Operational ROI

Explicit focus on cycle-time reduction, cost-per-transaction, and revenue velocity.

Care.com

Wursta is a great partner! We really appreciate all the prep, time, and effort they put in for our Gemini training with the finance team. The session was fantastic and generated a lot of really positive feedback from our team.

Rashid Tuweiq
Rashid Tuweiq VP of Finance

Our Enterprise Commitments

100% Code & Pipeline Ownership

You retain full intellectual property rights to all prompts, vector indexes, and agent pipelines built during the engagement.

Zero Vendor Lock-In

Systems are deployed directly inside your private cloud environment (AWS, Azure, GCP). If our advisory engagement concludes, your platform continues running with zero disruption.

Zero Data Retention for Training

Enterprise data and prompt traffic remain strictly confidential and are never utilized to train foundation models.

Ecosystem Compatibility
AWS Bedrock Microsoft Azure OpenAI Google Cloud Vertex AI & Workspace Snowflake Cortex Databricks Mosaic AI

Frequently Asked Questions

How long does the Enterprise Diagnostic take?

The diagnostic is a fixed-fee engagement that runs 3–4 weeks. You receive an Enterprise Diagnostic Readout with a LEVERS Model friction heat map, a workforce proficiency baseline, a zero-trust security and adoption barrier assessment, and a prioritized 90-day execution roadmap.

What happens if we decide not to continue after a stage?

Every stage has an off-ramp. After the diagnostic you have full autonomy to proceed or stop, and you can exit at any stage with full IP and code ownership.

Who owns the code and IP you build?

You do. You retain full intellectual property rights to all prompts, vector indexes, and agent pipelines built during the engagement, and receive the complete codebase, API specs, and runbooks.

Is our data used to train AI models?

No. Enterprise data and prompt traffic remain strictly confidential and are never used to train public foundation models.

Which cloud platforms and AI ecosystems do you support?

We deploy natively across AWS, Azure, Google Cloud, or private VPCs, and work with AWS Bedrock, Microsoft Azure OpenAI, Google Cloud Vertex AI & Workspace, Snowflake Cortex, and Databricks Mosaic AI.

Which compliance frameworks does the platform align with?

Deployments are designed to align with SOC 2 Type II, ISO 27001, HIPAA, and EU AI Act requirements, with prompt-injection defense, automated PII/PHI masking, and granular RBAC.

Is the Compass subscription required?

No. Compass is our optional change management subscription, offered in three tiers: Compass Essentials, Compass Standard, and Compass Visionary. Your platform remains 100% functional if it is cancelled.

Ready to Bridge the Gap Between Platform and Performance?

Stop accumulating experimental technical debt. Start with an objective, actionable assessment of your enterprise readiness and workforce capability.

Fixed-Fee (3–4 Weeks) Full autonomy to proceed or stop. Enterprise Diagnostic Readout