What is Scalefiniti AI?

Scalefiniti AI is an independent AI advisory and implementation firm for mid-market enterprises. We help executives identify where AI can move their P&L, then build and ship those solutions in 28-day sprints — with measurable ROI delivered in under 90 days.

What is the AI Value Creation Audit?

The AI Value Creation Audit is a 4-week engagement that maps every key workflow against AI capability to surface where automation, augmentation, or intelligence can move your business metrics. It delivers a board-ready roadmap with quantified ROI estimates, an AI readiness scorecard, and a prioritized list of 2–3 projects to implement first.

How long does an AI engagement with Scalefiniti take?

The AI Value Creation Audit takes 4 weeks and delivers a prioritized roadmap. Implementation sprints run 28 days from kickoff to production. Most clients see a working AI solution in production within 90 days of starting the audit.

What ROI can I expect from working with Scalefiniti?

Scalefiniti clients typically see 3–7× first-year ROI on implemented AI workflows, with over $100,000 saved per automated workflow. The 28-day delivery model means payback begins within the first quarter. ROI is always tied to specific P&L line items — hours saved, cost reduced, or revenue protected — before any build begins.

How is Scalefiniti different from other AI consultants?

Three differences: First, principal-led delivery — both partners are hands-on every day, not delegated to juniors. Second, implementation-inclusive — our model bundles audit, design, and build so strategy never sits in a deck waiting for a separate vendor. Third, verified ROI — we scope and measure against specific business outcomes before writing a line of code.

Does Scalefiniti do implementation or just advisory?

Both, in one engagement. Scalefiniti bundles audit, strategy, and build into a single accountable delivery. We identify the opportunity, design the solution, and ship it to production. Clients do not need a separate technology vendor.

What size companies does Scalefiniti work with?

Scalefiniti works with mid-market enterprises — typically companies with $10M–$500M in revenue that have real operational complexity but have not yet scaled a dedicated AI function. Our model is specifically designed for organizations that want enterprise-grade AI without enterprise-sized overhead.

What industries does Scalefiniti serve?

Scalefiniti works across industries wherever there are high-volume manual workflows or significant data assets. Our use-case library covers sales and revenue operations, finance and accounting automation, HR and talent workflows, operations and logistics, and energy sector applications.

- 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

- Approach

A 28-day cadence,
engineered for the budget cycle.

Five phases, fixed scope, principal-led every day. We compress what most firms run as a quarter into a single sprint - so value compounds while the budget cycle is still open.

Day 1–2· 01

01Intake

Define the problem, target outcome, and scope under a one-page charter.

Day 3–5· 02

02Design

Architect a minimal, scalable solution and confirm the integration surface.

Day 6–15· 03

03Build

Working pilot with the core automation, ready for staged validation.

Day 15–20· 04

04Deploy

Harden the pilot for production with monitoring, controls, and runbooks.

Day 21–28· 05

05Hypercare

Knowledge transfer, two-week hypercare, and verified-impact reporting.

Before any build, we run a four-week AI Value Creation Audit that ranks every opportunity in your business by ROI and feasibility.

- 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, principal-led every day.

Day 1–2

Intake & Discovery

Define the problem, target outcome, and scope.

One-page project charter
Success criteria
Scope agreement

Day 3–5

Design & Architecture

Design a minimal, scalable solution blueprint.

Solution architecture
Technical spec
User-story backlog

Day 6–15

Prototype & Pilot Build

Build a working pilot with the core automation.

Demo & feedback capture
Pilot in staging
Test results

Day 15–20

Final Build & Deploy

Harden the pilot for production.

Production automation
Admin & user guides
Champion sign-off

Day 21–28

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.

Frontier Models

Anthropic Claude 4
OpenAI GPT-4o / o3
Google Gemini 2.5 Pro
Meta Llama 4
Mistral Large 2
Custom fine-tuned

Agent & Automation

LangGraph / LangChain
Microsoft Copilot Studio
CrewAI / AutoGen
n8n / Make
Power Automate
Custom agent stack

Enterprise Cloud

Azure AI Foundry
Amazon Bedrock
Google Vertex AI
Private VPC deployment
On-prem inference
BYO-key controls

Data & Analytics

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 a principal partner. We’ll map the highest-ROI AI plays for your specific business - no slides required.

Let's Talk

60 minutes

Discovery & alignment call

Calibrate on your business priorities, current operating data, and budget cycle.

5 business days

AI Opportunity Brief

A short, board-ready brief identifying the top three AI initiatives - with quantified ROI ranges.

Direct line

hello@scalefiniti.ai

For executive introductions and partnership inquiries - replies within 24 hours.

A proven cadence,engineered for the budget cycle.

A 28-day cadence,engineered for the budget cycle.

01Intake

02Design

03Build

04Deploy

05Hypercare

The AI Value Creation Audit.

Discovery & Alignment

Current State & AI Readiness

Opportunity Mapping

Value Quantification

Roadmap & Next Steps

From kickoff toproduction in 28 days.

Intake & Discovery

Design & Architecture

Prototype & Pilot Build

Final Build & Deploy

Launch & Hypercare

Best-of-breed,picked for fit.

Think of the valuewe can add in 90 days.

A proven cadence,
engineered for the budget cycle.

A 28-day cadence,
engineered for the budget cycle.

From kickoff to
production in 28 days.

Best-of-breed,
picked for fit.

Think of the value
we can add in 90 days.