- Approach
A proven cadence,
engineered for the budget cycle.
Two structured engagements: a four-week audit that produces a board-ready roadmap, and a four-week build that ships the first workflow into production.
Let's Talk- Audit methodology
The AI Value Creation Audit.
Four weeks. Five phases. One outcome: a board-ready, quantified roadmap of where AI moves your P&L - and which two or three projects to ship first.
Week 1
Discovery & Alignment
Understand business priorities and current operating reality.
- Executive workshop (60–90 min) to align on goals
- Review strategic objectives across growth, cost, efficiency, and risk
- Identify 2–3 pain points with the highest revenue or cost impact
Deliverables
- Business priorities map
- List of critical processes for audit
Week 1–2
Current State & AI Readiness
Baseline today's operations and assess readiness to adopt AI.
- Process-owner interviews across sales, ops, finance, and HR
- Assess tech stack and document key workflows
- Collect metrics: hours, error rates, cycle times, cost
Deliverables
- Process inventory with effort and cost
- AI readiness scorecard
Week 2–3
Opportunity Mapping
Match every workflow against AI capability to surface value drivers.
- Evaluate workflows for automation, augmentation, and analytics
- Classify each opportunity: Automate, Augment, Intelligence
- Score opportunities on Value vs. Feasibility
Deliverables
- AI Opportunity Matrix
- Ranked list of 5–10 opportunities
Week 3
Value Quantification
Build a defensible business case for each top opportunity.
- Calculate hours saved, cost reduction, and revenue uplift
- Estimate investment: licenses, build, integration
- Define payback timelines - quick wins vs. strategic plays
Deliverables
- Business case per opportunity
- ROI estimates with payback period
Week 4
Roadmap & Next Steps
Provide an actionable, prioritized plan.
- Sequence quick wins for 90-day implementation
- Define longer-term initiatives aligned to strategy
- Build phased rollout plan and capital plan
Deliverables
- Executive summary (5–7 slides)
- AI Value Creation Roadmap
- Recommendations for first 2–3 projects
- Delivery cadence
From kickoff to
production in 28 days.
Our delivery model is engineered for speed without sacrificing the engineering rigor enterprise software demands. Five phases, fixed scope, senior practitioner-led every day.
Intake & Discovery
Define the problem, target outcome, and scope.
- One-page project charter
- Success criteria
- Scope agreement
Design & Architecture
Design a minimal, scalable solution blueprint.
- Solution architecture
- Technical spec
- User-story backlog
Prototype & Pilot Build
Build a working pilot with the core automation.
- Demo & feedback capture
- Pilot in staging
- Test results
Final Build & Deploy
Harden the pilot for production.
- Production automation
- Admin & user guides
- Champion sign-off
Launch & Hypercare
Ensure smooth adoption and operational stability.
- Live in production
- Knowledge transfer
- Two-week hypercare
Intake & Discovery
Define the problem, target outcome, and scope.
- One-page project charter
- Success criteria
- Scope agreement
Design & Architecture
Design a minimal, scalable solution blueprint.
- Solution architecture
- Technical spec
- User-story backlog
Prototype & Pilot Build
Build a working pilot with the core automation.
- Demo & feedback capture
- Pilot in staging
- Test results
Final Build & Deploy
Harden the pilot for production.
- Production automation
- Admin & user guides
- Champion sign-off
Launch & Hypercare
Ensure smooth adoption and operational stability.
- Live in production
- Knowledge transfer
- Two-week hypercare
- Stack
Best-of-breed,
picked for fit.
We work fluently across the leading model and platform ecosystems. The choice of stack is engineered against your data residency, governance, and unit economics - not a partnership tier.
- Anthropic Claude 4
- OpenAI GPT-4o / o3
- Google Gemini 2.5 Pro
- Meta Llama 4
- Mistral Large 2
- Custom fine-tuned
- LangGraph / LangChain
- Microsoft Copilot Studio
- CrewAI / AutoGen
- n8n / Make
- Power Automate
- Custom agent stack
- Azure AI Foundry
- Amazon Bedrock
- Google Vertex AI
- Private VPC deployment
- On-prem inference
- BYO-key controls
- Microsoft Fabric / Power BI
- Snowflake Cortex
- BigQuery + Looker
- Tableau
- Custom dashboards
- Modern data stack
We are vendor-agnostic. Every architecture decision is benchmarked on accuracy, cost, latency, and your governance posture.
- Begin
Think of the value
we can add in 90 days.
Schedule a 60-minute briefing with our leadership team. We’ll map the highest-ROI AI plays for your specific business - no slides required.
Let's TalkCalibrate on your business priorities, current operating data, and budget cycle.
A short, board-ready brief identifying the top three AI initiatives - with quantified ROI ranges.
For executive introductions and partnership inquiries - replies within 24 hours.