Baseline
Reconcile invoices and usage, confirm scope, and identify spending owners.
OutputSpend inventory, reconciled baseline, and data-quality gaps.
AI & TECHNOLOGY CONSULTING
Know what AI costs.
Know what to change.
Our two-week AI Spend & Economics Review connects AI spending to customers, features, and workflows—then gives you a prioritized plan to improve the economics.
Our team brings Big Four consulting experience to AI strategy, implementation, and adoption. We combine that experience with a focused, hands-on approach to move faster from assessment to delivery.
Two weeksFinance + engineeringActionable economics
AI SPEND & ECONOMICS REVIEW · TWO WEEKS
A clear baseline.
A practical plan.
For enterprise teams, software companies, and PE-backed businesses already using AI. Understand cost drivers, examine unit economics, and decide which improvements deserve investment.
Senior-led analysis informed by Big Four consulting experience, with finance and engineering working from the same evidence. Start with one business unit, up to three AI providers, and two priority workloads.
Attribute
Connect costs to models, workloads, teams, and customers or features where the data supports it.
OutputEditable cost-allocation and unit-economics workbook.
Evaluate
Examine model choices, context size, retries, caching, license usage, and commitments.
OutputEvidence-backed opportunities with estimated benefit, confidence, and effort.
Prioritize
Validate opportunities with finance and engineering against quality, latency, and business requirements.
OutputBusiness case and prioritized implementation backlog with owners.
Decide
Review the findings with leadership and agree on the next actions and how to measure them.
OutputExecutive briefing, monitoring recommendations, and a 30/60/90-day action plan.
What you bring
- Three months of invoices, billing exports, credits, and commitments.
- Available API usage, token volumes, request counts, licenses, and active-user data.
- An overview of the selected applications and architecture.
- Relevant business volumes, pricing, and quality requirements.
- A finance sponsor and technical owner.
What you take away
- Executive findings brief and presentation.
- Editable spend and unit-economics workbook.
- Opportunity register with assumptions and confidence levels.
- Prioritized implementation backlog and 30/60/90-day plan.
- Recommendations for budgets, alerts, reporting, and ownership.
Clear scope from the start. The two-week timetable begins once agreed inputs and access are available. We identify and estimate opportunities; production changes and verified savings require a separately scoped implementation. Estimates distinguish cash savings, avoided future costs, and potential revenue improvements.
Missing telemetry is documented, not replaced with invented precision. Raw prompts and customer documents are generally unnecessary for the initial review. Scope, fee, and client responsibilities are agreed before work starts.
WHO WE SERVE
Different businesses.
A shared focus on value.
Enterprise Teams
Prioritize use cases, automate workflows, integrate systems, and drive adoption.
Product Companies
Validate AI features, build and launch capabilities, and manage quality, cost, and monetization.
PE Firms
Assess portfolio opportunities, prioritize AI value creation, and execute improvements with portfolio-company teams.
Boutique Consultancies
Build differentiated AI offerings, repeatable delivery models, and stronger client capabilities.
AI IN PRACTICE
Turn opportunity into action.
From internal transformation to customer-facing products, we connect AI opportunities to practical delivery and measurable business value.
Transform operations
Prioritize high-value use cases and improve reporting, research, onboarding, and document workflows.
Example outputs
A scoped roadmap, integrated workflows, and an adoption plan.
Build AI products
Validate customer needs, design AI features, and take capabilities from prototype to production.
Example outputs
A tested feature, launch plan, and quality and cost measures.
Create portfolio value
Identify AI opportunities across portfolio companies and turn priorities into focused delivery initiatives.
Example outputs
An opportunity scorecard, company-level roadmap, and value tracking.
Scale consulting capabilities
Build differentiated AI services and equip boutique teams with repeatable methods and practical tools.
Example outputs
Offer packaging, delivery playbooks, training, and go-to-market assets.
FOCUSED REVIEWS AND IMPLEMENTATION
Start with the outcome you need.
AI Spend & Economics Review
Understand where AI spending goes and what to change in a focused two-week review.
Example deliverablesSpend baseline, unit-economics workbook, prioritized opportunities, and a 30/60/90-day action plan.
AI Project & Product Implementation
Define, prioritize, and deliver AI initiatives—from internal transformation to customer-facing products. Connect business value, technical execution, and commercial outcomes.
Example deliverablesUse-case portfolio, prioritization scorecard, business case, solution architecture, working implementation, evaluation results, deployment runbook, and adoption plan.
AI Workflow Sprint
Automate proposals, reporting, research, onboarding, and knowledge work.
Example deliverablesWorkflow assessment, working automation, and handover.
AI Practice Launch
Build an AI consulting or service practice with a repeatable delivery model.
Example deliverablesService portfolio, delivery playbook, and launch roadmap.
AI Economics & Monetization
Connect AI costs to customers, features, pricing, and margins.
Example deliverablesCost model, pricing scenarios, and margin analysis.
AI Training & Adoption
Help executives and employees apply ChatGPT, Claude, and Copilot responsibly.
Example deliverablesRole-specific workshops and adoption playbook.
AI GTM Accelerator
Clarify who you serve, what you sell, and how you reach customers.
Example deliverablesPositioning, packaging, demo outline, and sales playbook.
Deliverables are scoped to your business and agreed before work begins.
THE SEEBEYOND AI DELIVERY FRAMEWORK
Structured delivery.
Clear decisions at every stage.
A structured approach to AI delivery, informed by Big Four consulting experience. We connect each stage to clear deliverables, decision gates, and measurable outcomes.
Discover
Explore business problems, customer needs, workflows, and potential use cases.
Key outputsProblem statement, customer insights, use-case inventory, and accountable owner.
Decision gateIs there a clear problem and a business owner?
Prioritize
Rank opportunities by customer value, commercial potential, portfolio relevance, feasibility, cost, and risk.
Key outputsPrioritization scorecard, baseline measures, and business case.
Decision gateWhich use case justifies investment?
Design & Validate
Prototype and test with users; define architecture, data controls, evaluation criteria, and build-versus-buy decisions.
Key outputsSolution blueprint, evaluation plan, and feasibility evidence.
Decision gateDoes the evidence support building it?
Build & Integrate
Engineer the production solution, integrate it into products and systems, and test quality, reliability, and failure handling.
Key outputsWorking implementation, integration tests, and acceptance results.
Decision gateDoes it meet the agreed acceptance criteria?
Launch & Adopt
Prepare go-to-market and support, roll out in stages, enable users, and rehearse rollback.
Key outputsDeployment runbook, launch and adoption plan, and operational handover.
Decision gateCan the business operate it reliably?
Measure & Improve
Track quality, usage, retention, unit economics, and business outcomes; improve, expand, or retire capabilities.
Key outputsPerformance scorecard, improvement backlog, and scale decision.
Decision gateShould we improve, expand, or stop?
Across every stage: security, privacy, governance, human oversight, and change management.
AI READINESS CHECK
Where should you start?
Answer six questions for a practical starting point. No email required to see your result. This is a self-assessment, not an audit or a prediction of business performance.
SEE WHAT DELIVERY CAN LOOK LIKE
A practical sample pack.
Preview the structure and level of detail before you book. Includes six worked examples, starting with an AI project charter and use-case prioritization scorecard, followed by a workflow assessment, practice launch plan, AI cost model, training plan, and go-to-market brief.
All examples use fictional businesses and illustrative assumptions. They are not client work or evidence of achieved results.
- Clear decisions, assumptions, and next steps
- A reusable structure for each offer
- Download as a print-ready HTML document; save as PDF from your browser
Get the sample deliverables
COMMON QUESTIONS
Before we work together.
Do I need to know which offer fits?
No. Bring the business problem to an introductory consultation; we can discuss which scope would be useful.
Can you work with our existing tools?
We start by understanding your environment and constraints. Tool choices and integration feasibility are confirmed during scoping.
How are timing and fees determined?
We agree scope, deliverables, responsibilities, fees, and timing before work begins. The sample pack illustrates the approach, not a fixed contract.
How are sample requests handled?
We store the name, email, optional company, request time, contact preference, and any assessment score shared with the request. Access is restricted to SeeBeyond’s system administrators. Submitting the form unlocks samples; it does not verify ownership of your email or enroll you in marketing. For questions or deletion requests, email hello@seebeyond.ai. No files or sensitive business information are needed for this assessment.
EXPERIENCE MEETS EXECUTION
The experience to move your next AI initiative forward.
Bring business, product, and technology expertise to the work that matters. Our team combines Big Four consulting experience with a focused, hands-on approach—from defining the opportunity to delivering and adopting the solution.
Have Big Four or major systems integration experience? Explore opportunities in product management, consulting, sales & GTM, and operations.