Wallgarden.
The decision arrives before the problem does.
An autonomous executive layer over the tools you already run. Wallgarden watches finance, CRM and operations continuously and brings leadership decisions that arrive already researched, costed, and ready to approve.
Most AI waits for a question. Wallgarden asks its own: what decisions should be made right now?
AWAITING APPROVAL
03
Shift 40% of volume to the backup supplier Primary supplier risk high; 14–21 day delay expected | +$620K CONF 92% |
Renegotiate the logistics contract before renewal Expires in 46 days; three comparable rates on file | +$180K CONF 84% |
Hold the Q3 capacity expansion Demand signal softening in two of four regions | −$1.4M avoided CONF 71% |
Identification
- Designation
- RGN-05 · Wallgarden
- District
- Decision Intelligence
- Function
- Autonomous Business Operating System
- Source
- Closed
Answers
“Information is everywhere. Why are decisions still late?”
- A digital executive team on watch around the clock. No prompt required
- Every recommendation arrives with reasoning, financial impact, and confidence attached
- One click to approve; routine calls execute automatically within limits you set
- A value ledger tracks the money each decision saved or generated
The signature moment
Monday meeting, retired.
Before: the Monday meeting
- “Are any of our suppliers delayed?”
- The answer takes weeks to firm up.
- The factory eventually stops.
Question, answer, too late.
After: unprompted
Tuesday 06:40 EAT
Supplier risk · primary logistics vendor
- Risk score
- High · confidence 92%
- Expected delay
- 14–21 days
- Recommended action
- Shift 40% of volume to backup supplier
- Expected saving
- ≈ $620K
Awaiting executive approval
Signature feature: decision simulation
Rehearse the move before money moves.
Each of these is rehearsed against the knowledge graph and five years of organizational memory before a shilling moves: the downstream effects are surfaced with the evidence behind them. The rehearsal is the product. A decision that cannot be undone gets modelled first.
What lands on your desk
01
Decisions, not data
Every recommendation arrives with its reasoning, financial impact, confidence, and the alternatives it beat, ready to judge in minutes, not meetings.
02
One click to act
Approve from the brief, email, or phone. Routine calls execute automatically inside limits you set; the consequential ones wait for you, always.
03
A value ledger
Cost saved, revenue generated, risk avoided: attributed to each decision and tallied over time. The system's worth is a number, not a feeling.
The core differentiator, demonstrated
Most AI forgets.
Watch the same stream of organizational events under two laws of physics. Only one of them builds an asset.
same events · same order · different physics
events lived: 0/memory holds: 0
every Monday, the same questions get relearned from zero
The pile is the product. A competitor can copy the interface, they cannot copy five years of what this chamber holds.
The same record, sectioned
System architecture: six layers
01
Enterprise Data Collection
Finance, sales, operations, legal, HR: plus external signals: competitors, news, regulation, market data.
02
Organizational Memory
Where the compounding happens
Every decision, outcome, assumption, success, and failure, stored, so lessons compound instead of being relearned.
03
Knowledge Graph
A living map of relationships: a customer depends on a product, which requires a supplier, located in a country, affected by a port.
04
Risk Intelligence
Financial, operational, and strategic risk under continuous scan.
05
Opportunity Intelligence
A strategic radar: rising regional demand paired with falling competitor inventory is a signal, not a coincidence.
06
Decision Engine
What happened. What is happening. What will happen. What should happen. What should we do.
The long arc: five stages of autonomy
stage 01
Reporting
stage 02
Prediction
stage 03
Recommendation
stage 04
Approval-Based Automation
recommend · human approves: where institutions run todaystage 05
Autonomous Operations
AI executes within predefined limits · humans superviseThe aspiration: executives stop treating it as a tool, and start treating it like a trusted, tireless member of the leadership team.
Next system
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