Care & Home Assurative Integrations
Time spent with the person served, not their file.
Adrian Ingco · Founder, infiniTEA.ai
infinitea.ai · Pilot Partners Welcome
The Problem
Small community care home operators in BC face a crushing compliance load: CLBC reporting, CARF accreditation, incident documentation, staffing ratios, ISP tracking, fire safety, payroll compliance.
Generic AI tools weren’t designed for this regulatory reality. They inference their way through regulations at token cost per decision.
The compliance load doesn’t just burden operators. It takes time away from the people we’re here for.
Small care home operators are jack-of-all-trades, master of none — other than their own ability to be a bridge for those that can’t. They aren’t compliance specialists, HR managers, financial controllers, or IT admins. They’re all of those by necessity. The one thing they’re actually a master of is the thing no system can replace: being the bridge for people who can’t bridge for themselves. Every hour they spend on compliance paperwork, staffing schedules, CARF prep, and incident documentation is an hour stolen from the relational work — the reason they got into this in the first place. CHAI takes the jack-of-all-trades burden off their shoulders so they can be the master of the one trade that matters.
Mission
Enhance human agency and improve organizational efficiency by creating tools that feel like cognitive extensions — amplifying what makes us most human, not adding burden.
HOW EVERYONE ELSE DOES IT
Operator attends AI conference. Evaluates 15 tools. Tries to integrate one. Discovers workflows don’t fit. Goes back to manual. Net time saved: negative.
HOW CHAI DOES IT
Operator keeps working. System runs in parallel. When it matches their output consistently, that task graduates to automated. No conference. No tool evaluation. No workflow change. Time comes back as evidence, not as a promise.
The Four Pillars
TEA= the InfiniTEA methodology. Not additive — exponential. The four pillars are the walls of the TEAPOT. The cycle is the brew inside it.
The Market: Numbers First
| Metric | BC (Beachhead) | Canada |
|---|---|---|
| Provincial disability budget | $1.9B1CLBC 2025/26 Service Plan, BC Budget → link (CLBC) | ~$9B combined |
| Individuals served | 29,0002CLBC Service Plan 2024/25 → link | 120,000+ |
| Residential settings | ~3,0003ShareVision market footprint + Fraser Health scrape (254 facilities in 1 of 5 health authorities) — internal data | ~12,000-16,000 |
| Growth rate | 4%+/yr4CLBC caseload projections (55,618 in 20yr) → link (55K projected in 20yr) | Similar trajectory |
| Provincial agencies | 1 (CLBC) | 10 (one per province) |
What They Currently Spend
| Item | Cost | What They Get |
|---|---|---|
| ShareVision (dominant BC platform) | Per-user SaaS | SharePoint/MySQL — build your own compliance |
| AlayaCare / Telus Health | $500+/mo11AlayaCare pricing (Crunchbase / G2 Reviews) — no direct URL + per-user | Care management — no compliance intelligence |
| CARF accreditation (survey fees) | $995 app + $1,525/day5CARF International Fee Schedule 2025-2026 → link/surveyor | 12-15 months prep, no tooling included |
| Accreditation consultant | Full-time salary (~$60K+) | No extra CLBC funding for this |
| Template subscriptions | ~$1K/year | Templates only — no facilitation |
| Compliance labor (staff time) | $1,470/mo625-35 hrs/wk x $35/hr blended staff rate (BC wage grid) — internal calculation per facility | 25-35 hrs/wk of documentation, not care |
“How many beds?” is the wrong question.
The value isn’t per-bed or per-facility. It’s the cumulative cognitive drain across every level of the org chart — from the staff member documenting at midnight, to the coordinator reconciling ledgers on Saturday, to the executive director losing sleep before a CARF survey.
within year one
each one
is paperwork
is admin overhead
Wages are 80%12BC Standard Price Structure Guide → link of every residential care contract. CLBC rates are fixed. Operators can’t pay more. The only lever is making work sustainable so people stay.
Small operators are jack-of-all-trades, master of none. The system demands mastery across 6 domains from one person, then holds them solely accountable when something breaks. They’re not failing because they’re incompetent. They’re confined to “what works” despite liabilities they’ve trained themselves to bear — until they can’t.
Not how many beds. How spread the pain and how deep the drain. — Adrian Ingco
Revenue Model & Unit Economics
| Metric | Value | Source |
|---|---|---|
| Compliance labor per facility | $1,470/mo | 25-35 hrs/wk x $35/hr blended |
| CHAI price | $149-349/mo | 10-24% of compliance labor cost |
| BC beachhead (sub-10-bed disability) | $6.8M ARR | ~3,000 settings x $189 avg (per-facility SaaS) |
| Canada disability TAM | $44.7M ARR | ~12-16K disability facilities (per-facility SaaS) |
| Canada substrate TAM (full segment spend) | ~$48-50B/yr | LTC $28.5B (CIHI) + home-care/respite $7.3B (IBISWorld) + special-ed $10-14B + ADP ~$0.2B |
| Canada point-service capture (1-5%) | $0.5-2.5B | Provincial Ministry-of-Health / Ministry-of-Ed managed-infrastructure contracts |
| US substrate TAM | ~$474B/yr | LTC $200B (Grand View) + home-care $151.7B (IBISWorld) + ADP $7.5B (IBISWorld) + special-ed $115B (NCES/Bellwether) |
| North America substrate TAM | ~$500B USD / $700B CAD | Canada $50B + US $474B annual segment spend |
| NA point-service capture (1-3%) | $5-21B/yr | Province- / state-level Ministry-of-Health managed-infrastructure contracts |
| US LTC software ring (incumbent SaaS comp) | $2.41-4.11B | Grand View / GM Insights (the floor, not the ceiling) |
| LTV per facility | $14,209 | 85% margin x 7yr avg lifetime |
| Affordable CAC | $4,736 | 3:1 LTV:CAC ratio |
| Year 1 target (founder-led) | $477K ARR | 200 BC facilities |
Entry: per-facility pricing (unlimited users). Expansion: multi-facility dashboards, accreditation prep, API access. Net revenue retention target: 140%.
We don’t sell hours saved. We sell hours amplified. A $50/hr coordinator’s compliance hour goes from “searching for the right form” to “reviewing a pre-mapped gap with provenance.” Same employee. Same hours. Same pay. Completely different output. CHAI at $149/mo pays for itself on the first redirected management hour.
We also unlock money they’re already entitled to. Agencies qualify for standardized wage increases and contract uplift — but only if they participate in reporting surveys (CSSEA Compensation & Turnover Report, CLBC quality indicators). Miss the deadline, miss the increase. CHAI generates and validates these reports automatically — ensuring operators never leave funding on the table because they ran out of bandwidth.
The substrate is general — and the entry shape scales. CHAI’s compliance corpus + operations binder + incident-and-audit trail + AI-native documentation isn’t a DD-specific platform that happens to extend — it’s a regulated-care operations OS whose first vertical is BC sub-10-bed disability residential. Per-facility SaaS ($149-349/mo) is the bottom-up entry. Provincial Ministry / Health Authority point-service contracts are the top-down: a single province-wide compliance-and-operations infrastructure contract captures 1-5% of segment spend — $0.5-2.5B Canada alone, before US expansion.
Canada substrate: ~$48-50B/yr annual segment spend. LTC seniors $28.5B (CIHI 2022), home-care + respite $7.3B (IBISWorld 2024), adult day programs ~$0.2B, assistive learning $10-14B provincial special-ed. US substrate: ~$474B/yr. LTC $200B (Grand View 2024), home-care $151.7B (IBISWorld 2024), adult day services $7.5B (IBISWorld 2024), special-ed $115B (NCES / Bellwether triangulation). North America total: ~$500B USD / $700B CAD annual across the four substrate segments.
The US LTC software ring ($2.41-4.11B incumbent SaaS comparable) is the floorof the addressable opportunity, not the ceiling. Province / state Ministry-of-Health point-service contracts target 1-3% of segment spend — $5-21B/yr North America.
Canada sources: CIHI 2022 LTC; IBISWorld 2024 home-care; Ontario 2025-26 Special Ed Fund. US sources: Grand View 2024 LTC; IBISWorld 2024 home-care + ADP; NCES special-ed (Bellwether 24-state scaling). Full citations: docs/research/2026-04-27-chai-tam-expansion-research.md and docs/research/2026-04-27-chai-us-tam-figures.md.
Revenue-Centric vs. Compliance-Native
| Dimension | Revenue-Centric (e.g. AlayaCare) | CHAI |
|---|---|---|
| Inference path | LLM hot-path (runtime reasoning) | 7 agents + 835 YAML rules (deterministic) |
| Cost scaling | Linear token burn per action | CPU compute (fixed, near-zero) |
| Regulatory basis | Post-hoc layer; no CARF support | CARF + RCR + CCALA as executable YAML rules |
| Integrity | Post-hoc monitoring (AgentOps) | 500 test functions + deterministic logs |
| Semantic stack | LLM-based RAG | YAML compliance rules (zero-token) |
| Data sovereignty | US-centric SOC 2 / HIPAA cloud | FOIPPA: SQLite self-hosted, local Ollama |
| Audit trail | Prompt logs | SHA-256 provenance chain |
Revenue is a byproduct of operations. Operations are impossible without the license to play.
The DUMBER Protocol
Every CHAI decision follows a six-letter discipline. Four letters are zero-token. Only two touch AI.
D-U-M-B = rules, thresholds, constraints, audit. Deterministic. Free.
E-R= evals, escalation, reconciliation. The only two steps where AI judgment is invoked — and only when the deterministic path can’t resolve.
Compliance through code — not black box reasoning — is the only sustainable foundation for trust. Systems that follow the law by design will inevitably displace those that merely attempt to reason through it. — Adrian Ingco
Live Modules
Policy Portal
Facility policies, ISP meeting guide, GAS goal sheets, level of support framework. Live for staff.
Live📖Policy Manual
9 policy domains covering safety, dignity of risk, incident response, dietary, staffing.
Live🤝ISP Meeting Guide
Individual Support Plan meeting preparation and facilitation. Family agency through structured inclusion.
Live🎯GAS Goal Sheet
Goal Attainment Scaling template for ISP goals. Measurable progress for residents and families.
Live📊Level of Support
Support level assessment and documentation framework. Structured tiers with clear criteria.
Live🏗️Architecture Infographic
7-layer governance stack, agent roster, provenance pipeline, consent threshold.
Interactive🔗Care Graph
Interactive D3 visualization of resident care nodes, authority-weighted edges, confidence scoring.
Interactive💻Manager Portal
Dashboard with incident forms, conflict resolution, compliance nudges, NL compliance queries.
Demo📝Sample ISP
Individual Support Plan with GAS goals, compliance anchors, dignity of risk, provenance chain.
Sample📊Executive Care Summary
Monthly facility report: compliance scores, resident snapshots, staffing, fire safety, financials.
Sample🚀Mission Orchestration
Campaign dependency graphs, lifecycle kanban, fleet operations — the DUMBER protocol in action.
InteractiveFamily Agency & Governance
Families aren’t passive recipients of care updates. CHAI provides structured agency:
Consent Tiers
Families elect their communication level per domain: NONE → SAFETY_ONLY → ROUTINE → DETAILED → FULL_TRANSPARENCY
Dignity of Risk
Person-served preferences are honored unless safety override is documented. 25 resident rights rules (CH-001) + dignity override tracking.
ISP Inclusion
Structured meeting guides ensure families prepare, participate, and see measurable progress via Goal Attainment Scaling.
Regulatory Hierarchy
Statutory > Accreditation > Contractual > Preferential. Transparent authority chain for every decision.
7 Domain Agents
Each agent owns a compliance domain. All deterministic. All consent-gated. Running at Cristina Home.
Bookkeeper
Financial reconciliation, CLBC contract hours, receipt matching
Incident Commander
CIRs, dual-stream reporting (Fraser Health + CLBC), 24-hour clocks
Care Chronicler
Daily care documentation, meds/meals/mood, weight tracking
Shift Coordinator
Staffing ratios (RCR s.40), shift handoffs, scheduling
Regulatory
Deadline tracking, CLBC reports, inspections, CQI
HR Sentinel
Training, certifications (First Aid, CRC), payroll, WorkSafeBC
Facility Steward
Maintenance, fire safety, vehicle checks, emergency preparedness
Live Proof: Cristina Home
Bespoke before scale — prove the fit, then grow.
I don’t build for care homes from the outside. I build from inside one.
Budget Impact: Reallocation, Not Reduction
CHAI doesn’t save you money. CHAI helps you spend it on the people you’re funded to serve instead of the paperwork about serving them.
THE TRAP: REPORTING “EFFICIENCY”
Operator demonstrates efficiency. Funder sees reduced spending. Funder assumes reduced service need. Next year’s allocation drops. The reward for running lean is a smaller budget.
This isn’t hypothetical. It’s happened to us.
THE FRAME: REPORTING REALLOCATION
CHAI documents WHERE every reclaimed hour goes. Administrative overhead → direct care. Compliance paperwork → family engagement. Net budget utilization: 100%. Every dollar accounted for.
The budget doesn’t shrink. The allocation shifts to what matters.
The 8-to-2 Day
Small operators today finish compliance paperwork at midnight. CHAI compresses the administrative workday so operators complete their documentation by 2 PM. The afternoon opens up — not for going home early, but for being present with the people they serve. More community outings. More one-on-one time. More of what the funding was always meant to support.
Same hours. Same budget. Same staff. Radically different allocation.
“We don’t demonstrate efficiency. We demonstrate reinvestment. The funder’s question isn’t ‘did you spend less?’ — it’s ‘did the people you serve get more?’” — Adrian Ingco
Why CHAITEA, Why Now
The gap between AI capability and AI governance in regulated industries — model releases don’t close it, they widen it.
THE ENGINE
Anthropic built the engine — Claude is the most capable AI model in the world for safety-conscious reasoning.
THE SAFETY SYSTEM
We built the safety system — DUMBER governance, consent-gated autonomy, deterministic rules. The discipline layer that turns capability into trust.
Every new model release makes raw AI cheaper and more capable. None of them solve the governance gap. That gap is our moat — it widens with every release, and CHAI is the bridge.
The Long Game: AI That Retires Itself
Every time our AI structures someone’s input and they approve it, that approval becomes a permanent deterministic rule. We’re not building a company that needs AI forever. We’re building one that needs it less every day.
How:The system runs in shadow mode — doing the same work as your team, in parallel. When outputs match consistently, that task graduates from manual to automated. Each graduation becomes a permanent deterministic rule. The inference layer trains itself out of a job, one proven task at a time.
Evidence: Our own cost dropped from $35/day (manual, 2025) to $21/day (fleet of 2,657 sessions, 2026). Cache reuse ratio: 11.2:1. Cost decreases as knowledge increases.
“When inference is free — and it will be eventually — the only thing that matters is what you know, and how fit you are to wield it. We facilitate that fitness — the meta-cognitive tools that keep operators competency-aware and adept in the human experience of executive judgment.” — Adrian Ingco
CHAITEA
Care & Home Assurative Integrations
Whatever Your Cup of TEA, We Brew IT.
Time spent with the person served, not their file.
Adrian Ingco · Founder, infiniTEA.ai
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