TAM / Selected-market opportunity
$53.3BAnnual modeled account spending
WRKZY / Investor perspective
An AI workforce.
For every business.
We’re building a place where businesses can coordinate customer work today and delegate it to AI employees over time.
Current product: customer operations and AI assistance.
Autonomous AI employees: product direction.
00 / Investment overview
The case at a glance.
- Current foundation
- Customer operations, human-reviewed AI assistance and configured workflows.
- Initial customer hypothesis
- Wholesale and distribution teams managing enquiries, quotes and follow-up.
About 30 seconds
WRKZY is building an AI workforce for business. We start by connecting customer conversations, records and follow-through in one workspace. Today, AI assists with summaries, drafts and recommendations. Our next stage is governed AI employees that complete bounded work, with people setting goals, permissions and approvals.
Download investment teaser One-page PDF · Public overview
Chapter 01
Current productProduct & capabilities
The workspace behind the ambition. Explore existing customer and commercial views, using sanitized demo data.
Start with the customer’s request.
A shared inbox connects the conversation, channel and owner. People remain responsible for replies and commitments.
- Connected work
- WhatsApp/email, customer records, deals, quotes and tasks.
- AI assistance today
- Summaries, drafts, recommendations and configured workflows.
- Web + mobile foundation
- Web product; native mobile in internal testing. Interface previews ↗
What this proves: implementation, not adoption or customer outcomes. Retained value and execution quality need separate evidence.
Chapter 02
Customer & problem
Our initial hypothesis is a small wholesale or distribution team handling repeat enquiries and quotes across WhatsApp and email.
- 01
Enquiry
A buyer requests a bulk-order quote.
- 02
Context
The team sees the customer and deal.
- 03
Quote
A person owns pricing and commitments.
- 04
Follow-through
An owner and next step stay visible.
Segment selected for validation, not a claim of proven vertical traction. Test setup effort, repeated use, paid retention and value before widening the buyer.
Why now: improving AI capability makes assistance practical; useful delegation still needs business context and controlled places to act. WRKZY is building that operating foundation.
Research behind the timing ↗Chapter 03
Competitive strategy
Bring the customer record and the work together. Test whether connected context and action reduce coordination effort for the initial buyer.
People direct the work
Own decisions, commitments and exceptions
Customer context
Conversations · records · deals
WRKZY
One workspace
AI assistance and configured workflows
Owned next steps
Quotes · tasks · follow-up
Foundation for future AI roles with scoped authority and approval gates.
These capabilities are not exclusive. Durable advantage must emerge through deployment speed, workflow quality, retention and economics. Compare the alternatives and our tests ↗
Chapter 04
Future directionAI workforce direction
Enquiry coordination is a candidate first role: understand an incoming request, prepare a permitted next step, obtain approval when needed and preserve the handoff.
Start with one responsibility and explicit completion conditions. Measure incorrect actions, recovery, human intervention and full delivery cost before expanding the role.
Explore the current workflow and future AI role
Explore the operating model
From a request to accountable work.
Current product / People, AI assistance and configured workflows
01 / Current workflow
A customer gets in touch
A WhatsApp or email enquiry enters the shared customer workflow. A person can establish ownership and the next action.
An explanatory diagram, not a live agent demonstration. Select a stage to inspect its current or future responsibility.
Today and direction
Today, WRKZY can summarize, draft, recommend, and run configured workflows. Autonomous multi-step agents are part of the product direction and will launch only with scoped permissions, approvals, and complete audit history.
Chapter 05
Sourced cohorts + assumptionsMarket & expansion
Global ambition, built from identifiable buyers. This selected-market model connects employer cohorts and assumed account spending to a potential $100M ARR business.
US · UK · Canada · Australia — about 9.9M employer businesses before assumed consolidation. Selected cohorts, not a worldwide census; India, the EU and other markets are excluded.
Scale case · modeled opportunity, not observed market spend or company guidance
SAM / Potential expansion fit
$8BFuture fit, not current serviceability
SOM / Five-year capture illustration
$101MYear-five ARR illustration
Assumptions: $6K/organization/year (not current pricing or observed ARPA); 90% buying-account factor; 30% workload fit × 50% deployment fit. Potential SAM is unverified expansion. Cohort definitions and years differ. Capture uses 90% annual logo retention and year-end acquisition; in-year churn could lower results. Not a forecast.
16,667retained paying accounts
$6Kannual account revenue
$100Mannual recurring revenue
Organization revenue counted once across workspace, usage and roles. Customer value and full delivery economics must support the assumed spend.
See the five-year capture path and execution requirements
- $1.5MYear 1
- $5.8MYear 2
- $17.3MYear 3
- $45.5MYear 4
- $101MYear 5
$0 baseline
The venture outcome to test
What reaching $100M ARR requires.
16,667 retained paying accounts at $6K aggregate annual account revenue. That is 1.3% of the potential SAM in this case.
The distribution engine
The capture illustration’s final year requires about 4,167 qualified opportunities/month at 20% conversion, and 834 new-account onboardings/month.
This is a hypothetical acquisition path, not demonstrated demand or onboarding capacity. Customer value, retention, acquisition cost and contribution margin after AI delivery and human review need evidence.
Market model reviewed 1 November 2026. USD throughout; scenarios are sensitivities, not confidence intervals or financing valuations.
Chapter 06
Business model
Win a workflow
Subscription, focused demo and onboarding. Prove repeated use and paid retention.
Deepen the account
More users and responsibilities as value grows. Count organization revenue once.
Repeat the deployment
Test adjacent segments and markets against local fit and full delivery cost.
The economic test: retained revenue after inference, channel fees, retries, human review, support and onboarding. Role or outcome pricing follows reliable completion and cost evidence.
Current subscription plans ↗Chapter 07
Milestones & release gates
Progress through evidence, with an operating budget and capital plan tied to each capability gate.
Current foundation
People work with shared context.
Connected customer operations, human-reviewed AI assistance and configured workflows provide a concrete place to begin.
Evidence gate
Measure activation, recurring workflow usage and customer value.
A customer can connect the workflow and use it repeatedly.
Chapter 08
Risks & diligence
Customer and business proof
Verified demand, activation, retention, customer references and observed workflow value; account economics reconciled to delivery and acquisition costs.
Execution capacity
Delivery responsibilities, hiring needs, representative evaluations, production controls and a milestone-linked capital plan.
Detailed financials and financing terms stay private. Product breadth and market forecasts do not substitute for these records. Private evidence checklist ↗
Principal risks and how to evaluate them
Execution: model errors, review burden and recovery can erode value. Measure them on representative work.
Business: incumbent distribution, platform dependency, acquisition cost and support complexity can limit growth. Validate retention and full economics by cohort.
Build the next chapter with us
See the product.
Discuss the evidence.
Explore the workforce thesis, request a product conversation or discuss private diligence.
Research reviewed 1 November 2026. Direction and proposed milestones are forward-looking.
Product evidence and claim boundaries ↗