// Services

The Work.

Four defined engagements. Each scoped to your actual requirements. No vendor agendas. No tool pitches. Just disciplined execution.

01

AI Readiness & Workflow Audit

Timeline
2 – 3 weeks
Primary Deliverable
Written assessment with prioritized AI opportunities and risk factors

Before any implementation, you need an honest picture of where your business actually stands. We conduct a structured review of your current operations, software stack, data quality, and team capacity. No vendor agenda. No upsell pressure. A clear, written assessment you can act on, with or without us.

Includes
Operations and workflow mapping
Software and data infrastructure review
Team capability and change-readiness assessment
Prioritized AI opportunity matrix
Risk and readiness scoring
Written deliverable with recommendations
02

AI Implementation & Integration

Timeline
4 – 12 weeks
Primary Deliverable
Deployed AI system with documentation and team training

We handle the full deployment lifecycle: from scoping and vendor selection through integration, testing, and team training. Every implementation is documented, tested against your actual workflows, and handed off with your team trained to maintain it. No black boxes.

Includes
Implementation scoping and vendor selection
Integration with existing systems and workflows
Quality assurance and performance testing
Team training and onboarding
Full technical documentation
Post-launch support window
03

Ongoing AI Advisory Retainer

Timeline
Engagement reviewed quarterly.
Primary Deliverable
Monthly reviews, quarterly roadmap, and priority access to principals

AI is not a one-time installation. Markets shift, models improve, your operations evolve. The retainer keeps a principal accountable to your strategy on an ongoing basis: monthly performance reviews, vendor oversight, optimization priorities, and a quarterly roadmap update.

Includes
Monthly strategy and performance review
Ongoing vendor and tool oversight
Continuous workflow optimization
Priority access to principals
Quarterly AI roadmap update
Ad hoc guidance on new AI opportunities
04

Custom AI Development

Timeline
Determined after discovery
Primary Deliverable
Proprietary AI tooling built to your operational requirements

Some organizations have operational requirements that off-the-shelf AI products cannot meet. We scope, design, and build proprietary AI models, tools, and integrations where genuine custom development is warranted. Engagements begin with a paid discovery and scoping phase.

Includes
Paid discovery and requirements scoping
Custom model or tool architecture
Development and integration
Testing and validation against business metrics
Documentation and knowledge transfer
Ongoing support options
// How We Engage

A deliberate process.
No surprises.

01

Discovery Call

A 30-minute conversation to understand your business, current challenges, and whether we are a fit. No pitch. No deck.

02

AI Readiness Audit

Most engagements begin here. We assess your operations, systems, and team before recommending anything. This is where the real work starts.

03

Implementation or Retainer

Based on audit findings, we scope the appropriate engagement: implementation project, advisory retainer, or both. You approve all work before it begins.

04

Handoff & Continuity

Every deliverable is documented. Your team is trained. If we part ways, you are not left dependent on us. If you stay, the retainer ensures continuous optimization.

Ready to find out where AI actually fits?

Most engagements start with a 30-minute discovery call.

Book an Audit →