Decision Intelligence
& AI Analytics
For Growth-Stage Companies
From dashboard data to intelligence decisions. We rebuild how decisions are made so every high‑stakes answer is governed, auditable, and fast. Artificial intelligence automation needs a data foundation and infrastructure to scale.
Why Your "Single Source of Truth"
Still Lies to You
Decision Intelligence Platform
We don't just add another dashboard. We rebuild how decisions are made so every high‑stakes answer is governed, auditable, and fast. Artificial intelligence automation needs a data foundation and infrastructure to scale.
Your success with AI adoption relies on how well your architecture resolves across your data patterns to produce accurate data insights that move the needle.
INTELLIGENCE DEBT
The Architecture Process
From chaos to a working system.
Shadow Ledger Audit
We start by mapping where your AI tools and data systems quietly fight each other. You get a quantified view of your Governance Gap, Identity Fragmentation, and Accountability Gap, plus a focused 90‑day action plan.
Constitutional Rules & Evidence Packets
We translate business logic into machine‑readable rules. Every important AI‑assisted decision now generates a receipt—inputs, logic applied, outputs, and confidence bands—that Legal, Finance, and the Board can review.
Unified Decision Intelligence Layer
Marketing, Sales, Product, and Finance see the same reality: true CAC, LTV, and risk surfaced as "visible meters" at the exact moment a leader approves or escalates. No more reconstructing decisions from Slack.
The Shift: From Dashboards to
AI Decision Architecture
Most teams don't have a data problem—they have a decision problem. BI tools made the past prettier; AI made the chaos faster. We fix the architecture underneath.
- Make the right meters visible.
We surface the few metrics that matter—true CAC, LTV, risk bands—inside the actual decision screens leaders use. - Replace brute‑force reporting.
No more armies of analysts. We design optimization and automation systems into a single governed path from event to Evidence Packet. - Turn business logic into a system.
The logic that runs your company moves out of slides and Slack into a constitutional layer your teams can operate, audit, and extend.
Intelligent Decision-Makers
Funded SaaS & Fintech Founders
($10M–$50M ARR). Leaders who need to prove unit economics and AI ROI to investors and boards, without waiting weeks for analysts to stitch together a story.
CFOs & Finance Leaders
Finance owners who need a defensible, audit‑ready view of how AI‑driven decisions impact revenue, risk, and margin—backed by Evidence Packets, not anecdotes.
CMOs in Regulated Categories
Marketing leaders who want governed AI systems that won't create compliance nightmares every time a campaign or personalization engine ships.
COOs / VPs of Operations
Operators who are done watching teams burn 15–25 hours a week reconciling conflicting AI outputs, re‑keying data, and cleaning up decisions no one can explain.
What This Looks Like in the Real World
$300M Exit
A subscription brand went from 0 to a $100M run rate in 18 months by identifying real CAC and LTV hidden behind channel dashboards. Our architecture made the story defensible to acquirers.
Fintech to Inc. 5000
Fundrise accelerated to #35 on the Inc. 5000. Decision Intelligence ensured that creative wins translated directly into measurable improvements in investor growth and retention.
Enterprise SaaS Cycles
Proximus/TeleSign compressed enterprise sales cycles from 12 months to 90 days by rebuilding how decision data flowed from marketing touchpoints to C‑suite conversations.
Stop Letting Intelligence Debt Compound
If more than one system is making customer‑facing decisions—and you'd be in trouble if a regulator, investor, or enterprise buyer asked "Why?", you are ready for Decision Intelligence.
In 30–60 minutes we’ll identify your highest‑leverage opportunities and outline a focused 90‑day plan
Frequently Asked Questions
Q1: What is "Intelligence Debt" and why should I care?
Intelligence Debt is the compounding cost of ungoverned AI decisions—conflicting tools, manual rework, and invisible risk—that doesn't show up on dashboards until it explodes into churn, brand damage, or regulatory crises. It's the operational cousin of technical debt, and most mid‑market companies hit it around the 300‑employee mark.
Q2: How is Decision Intelligence different from traditional Business Intelligence (BI)?
BI feedback tells you what happened yesterday. Decision Intelligence encodes constitutional rules and Evidence Packets so AI systems can make governed decisions today while forecasting why they should be made tomorrow. Instead of static reports, you get a live glass‑box system that explains every important decision in under five minutes.
Q3: What is a Shadow Ledger Audit?
It's our first diagnostic across workflows, tools, and data paths. We map where AI systems contradict each other, where brand promises collide, and where no receipts exist for high‑stakes calls. The output is a quantified view of your Governance Gap, Identity Fragmentation, and Accountability Gap—plus a focused 90‑day action plan.
Q4: Who is this for—startups or enterprises?
This enterprise‑grade solution is built for funded startups, mid‑market brands, and enterprise teams that are already using multiple AI tools or operating in regulated environments. If more than one system is making decisions your customers see, and you'd be exposed if anyone asked for the audit trail, you're in the strike zone.
Q5: How long does it take to see value from a governed workflow?
Most teams land a first governed workflow in 60–120 days, depending on complexity and stakeholder speed. You start with one painful process—support triage, lead routing, pricing approvals—encode the rules and Evidence Packets, and measure hours saved and risk reduced. Each additional workflow gets faster because you reuse the same constitutional patterns.
Q6: Why can't we just use our existing BI and analytics tools?
Your current tools—BI, analytics platforms, and even most data science dashboards—visualize data; they don’t govern decisions or generate receipts. BI and data science sit downstream, showing you the aftermath. Decision Intelligence sits upstream, shaping how AI and humans decide in the first place and making those choices auditable and defensible. The two are complementary—but not interchangeable.
