Structured Decision Intelligence

We don't make your decisions.
We make them better.

A decision process — discovery, research, adversarial challenge and documented reasoning — for the choices a business can't take back.

The second opinion that actually did the homework.

3Dogs Nexus  ·  Investor Overview  ·  June 2026  ·  [email protected]

01 — The Problem

The most expensive decisions are made with the least rigor

A bad hire, a wrong expansion, a misread market — these calls shape years. They get made under pressure, with partial information and competing opinions, on a gut call or now a single chatbot answer.

The calls that shape years

Hire or wait? · Expand or consolidate? · Acquire or build? · Invest or preserve cash? · Enter a new market? · Change the model?

No analyst bench. No board. No second opinion — least of all for the owners and advisors who decide alone.

The cost of a bad call

Bad hires · failed projects & launches · investments that never return · years of technical debt · expansions that miss the plan.

Obvious in hindsight. Rarely caught in time.

02 — Why not just ask one AI?

One confident answer is the trap

A single model gives a fluent, convincing answer — while quietly missing the risk, the alternative, or the assumption that changes everything. The more certain it sounds, the more dangerous it is for a decision you can't reverse.

A typical AI tool

  • Gives you an answer
  • One perspective
  • Sounds certain either way
  • No record of what it assumed

→ A decision you can't take back.

3Dogs Nexus

  • Runs a decision process
  • Independent perspectives that argue
  • Evidence, risks and conditions
  • Every assumption documented

→ A recommendation you can defend.

"A single model speaks with the confidence of a grade-A salesperson — even when it's wrong."

03 — The Insight

Better decisions don't come from a faster answer. They come from a better process.

01

Many minds, many logics

Each independent position reasons from a different decision logic — so blind spots don't line up. The wisdom of crowds, made operational.

02

Challenged, not accepted

The process forces challenge and reconciliation — assumptions stress-tested, risks surfaced — before anything is recommended.

03

Documented & human-led

The reasoning is recorded; the final decision and accountability stay with the human.

AI-enabled. Human-led. The process is the product.

04 — How We Compare

Consulting rigor. Software economics. Human control.

Traditional consultingA single AI3Dogs Nexus
CostExpensiveCheapAffordable
SpeedSlowFastFast
PerspectiveHuman-constrainedOverconfident, single viewMany, challenged
Reasoning traceLimitedWeakDocumented end-to-end
Accountability & scaleHard to scaleWeak accountabilityHuman-governed, software-scaled

We take the rigor of the first column, the economics of the second, and add what neither has: a documented, governed process.

05 — The Solution

Structured decision intelligence

The rigor a large organization gets from a team of analysts — delivered as a guided, repeatable process, priced for the operators and advisors who never had that bench. Three stages, one continuous process.

Discovery

Clarifies the real question, finds the missing information, and gathers live, cited evidence.

Nexus

Runs the decision through independent perspectives that debate it, challenge assumptions, and reconcile into one documented recommendation.

Evolution

Captures lessons from every case and proposes improvements to the process — under human governance.

Discovery frames the question · Nexus improves the decision · Evolution improves the process.

06 — How It Works

From a plain-English Decision Case to a call you can defend

1
Submit
a Decision Case
2
Clarify
Discovery asks what matters
3
Research
live, cited evidence
4
Challenge
the process forces debate
5
Recommend
+ assumptions & risks
6
Decide
the human, always

What the client gets

A clear recommendation · the basis & evidence · what it assumes · conditions & risks · a monitoring plan · a documented brief.

07 — Inside the Decision

The process argues — then agrees on the record

Nexus runs the case through several independent perspectives, each reasoning from a different logic, then forces challenge and reconciliation before a single recommendation is written. Disagreement is the feature.

Independent positions

Several models, several logics.

Challenge & reconcile

5-phase structured debate.

Synthesis

Reconciled into one position.

Documented brief

The decision, on the record.

When the stakes are high, the process convenes more panels and re-researches between rounds — rigor scales with difficulty.

08 — What You Get

A recommendation you can act on — and defend

SAMPLE OUTPUT · DECISION CASE

"Should my auto shop invest in EV capability now?"

Recommendation — Proceed in phases, hybrid-first.

  • Assumptions — EV adoption continues · training costs stay manageable
  • Risks — technician shortage · utilization uncertainty
  • Monitoring — quarterly utilization · local EV registrations

Confidence: MODERATE

Why you can trust it

  • Plain English. Written for a busy owner — no jargon, no consulting-speak.
  • Real evidence. Live research with citations — current facts, not model memory.
  • Stated assumptions. Every recommendation lists exactly what it rests on.
  • Confidence & conditions. How sure we are, what would change it, what to watch.

09 — The Product

See it in action

A working product, live on AWS — from a plain-English Decision Case, through guided clarification, to a documented recommendation brief.

1

Submit a Decision Case

Intake & guided clarification.

2

Clarify

Discovery asks only what matters.

3

Recommendation brief

Documented, with assumptions & risks.

Live at app.3dogs.ai. Recommendation brief shown as a representative sample.

10 — One Process, Many Domains

The same process, very different stakes

Submit → Clarify → Challenge → Recommend doesn't change with the domain. We've run hundreds of decision cases through the system — here are three deliberately different ones, including the auto-shop brief you just saw.

SMALL-BUSINESS STRATEGY

Auto shop — invest in EV now, or preserve cash?

→ A staged, hybrid-first path that protects cash, staff and future optionality.

PUBLIC POLICY / GOVERNANCE

Nevada lithium project — proceed, and under what conditions?

→ A staged governance process balancing value, water risk and accountability.

CRISIS RESPONSE

Fast-moving outbreak — respond without locking in too early?

→ Treatment-first action with capacity gates and automatic escalation triggers.

The point isn't the domains — it's that one process replaces a forced yes/no with a structured path for deciding responsibly. Hundreds of internal and simulated cases run to date; the three shown are illustrative cross-domain showcases — not paid client engagements.

11 — Defensibility

The model isn't the moat. The process is.

Everyone can call the same models. What compounds is the decision process, the institutional memory it builds, and the governance around it.

Adversarial deliberation

A process that argues and documents — hard to fake with a wrapper.

Institutional memory

Every case, and its outcome, is tracked; a corpus of decisions competitors can't buy.

Human governance

Recommendations are advisory; accountability stays with the leader.

Every case compounds: more decisions → institutional memory → better deliberation → better recommendations → more customers.

12 — The Market

Start narrow. Win. Expand.

The consulting gap is widest for small operators and the advisors who serve them. Win there first; the same process expands outward to every organization that decides under uncertainty.

BEACHHEAD — NOW

SMBs & advisors

Small businesses & professional advisors (consultants, accountants, fractional execs).

EXPANSION — NEXT

Firms & leadership

Consulting firms & leadership teams that want added challenge and capacity.

HORIZON — LATER

Public · education · non-profits

Facing the same high-stakes calls under uncertainty.

13 — Go To Market & Pricing

A subscription that grows with the customer

Self-serve at the entry tiers, sales-assisted at the top — landing with operators and advisors, expanding into firms and institutions. A modest blend of tiers reaches our first ARR target.

Solo
$99/mo
1 user · 1 entity
Owner-operators
Professional
$299/mo
1 user · multiple entities
Consultants & advisors
Corporate
$999/mo
up to 5 users · multi-entity
Firms & leadership teams
Enterprise
From $20K/yr
Custom — any size · prepaid annual or dedicated deployment · sales-led

An illustrative path to $250K ARR

30 × Solo  $36K+ 20 × Professional  $72K+ 10 × Corporate  $120K+ 1 × Enterprise  $20K= ≈ 61 customers  ≈ $250K ARR

Near-term pilots reach a fraction of this blend — roughly $50K ARR — then scale to the full ~$250K. Indicative launch pricing, validated in pilots.

14 — Why Now

The pieces just arrived

01

Capable models, plural

Enough genuinely strong models now exist to make independent perspectives real.

02

One platform

AWS Bedrock serves them through one account — orchestration is newly practical.

03

Cost collapse

Strategy-grade analysis at software margins — much of it on AWS credits.

04

A trust gap

As single-AI answers flood in, demand rises for grounded, challenged, accountable analysis.

The need is old. The ability to meet it affordably is new.

15 — Where We Are

Built, running, and moving to paid pilots

Live

Working product, end-to-end on AWS.

Hundreds

Decision cases run end-to-end across domains.

AWS

Activate credits awarded — high capital efficiency.

Demos

Private demonstrations available now.

Operational today

  • Guided clarification & intake
  • Decision-brief generation
  • Multi-perspective analysis & challenge
  • Structured, documented recommendations

In progress

  • Packaging paid pilot engagements
  • AWS Marketplace onboarding
  • Security, audit & production hardening
  • First customer conversations

Moving from prototype validation toward paid commercial use. The next milestone is paying customers.

16 — Roadmap

Commercialize the working product

NOW → Q3 2026

Commercialize

Launch paid pilots · convert early adopters to subscriptions · package onboarding.

First paid pilots → ≈ $50K ARR

Q4 2026

Platform readiness

AWS Marketplace · security, audit & hardening · formalize governance.

Scale to ≈ $250K ARR

2027 +

Strategic growth

Scale onboarding & delivery · deepen guided discovery · expand outward.

Grow beyond · next round

The bet doesn't change: better decisions through structured challenge, under human judgment.

17 — Founder

Why I'm building this

Alan Finney — Founder

Founder-ledCapital-efficientHuman-governed

Solo-built working product · near-zero burn · funded on AWS credits.

"After decades watching organizations make consequential decisions with incomplete information and limited access to outside expertise, I became obsessed with one question: could we build the structured decision process normally reserved for large organizations — and make it accessible to everyone else?"

That question is the company.

18 — The Ask

Raising a pre-seed to reach $250K ARR

A working product is already live on AWS credits. This round funds the path from prototype to paying customers — and a clear line to the next raise.

ILLUSTRATIVE SCENARIO · VALUATIONS ARE NEVER AUTOMATIC

$250K ARR target · subscriptions× ~8× potential SaaS multiple= ~$2M illustrative valuation · for discussion
01

Production readiness

AWS production, reliability, security & audit, onboarding and billing.

02

Customer validation

Paid pilots with operators and advisors; convert to subscriptions toward $250K ARR.

03

The executive layer

Governance, institutional memory, and the foundation to scale delivery.

We don't make your decisions. We make them better.
Alan Finney · [email protected] · 3dogs.ai