Truth Computing
01 / Problem

The barrier is information, not effort

Staff give extraordinary care with limited resources. The gap is the infrastructure underneath them.

Southern California faces one of the most urgent homelessness crises in the United States. The people responding give extraordinary care with limited resources. The barrier is rarely will or effort — it is information infrastructure.

  • Intake is duplicated. A person re-tells the same traumatic history at every facility. Each intake is 20–60 minutes of staff time and re-traumatizing for the client.
  • Availability is invisible. A case manager works a phone tree to find an open bed or slot. There is no shared, real-time view of what is open right now.
  • Records don't travel. When someone moves between an outreach team, a shelter, and a bridge-housing provider, the receiving staff start from zero. Continuity breaks at every handoff.
  • Matching is manual. Connecting a person to the right resource depends on individual staff knowledge and phone calls, not a shared system.
  • Reporting is a tax. HMIS data entry is experienced as compliance overhead that pulls staff away from people.
02 / Goals & Non-Goals

What V1 commits to — and what it won't touch

Goals

  • Cut duplicate intake by letting a person be assessed once and reused across the network, with consent.
  • Give staff a real-time, shared view of bed and resource availability.
  • Make referrals a warm, tracked handoff with the client record attached.
  • Interoperate with HMIS so Bridge reduces reporting burden instead of adding a second system.
  • Earn trust: privacy-first, consent-driven, useful to front-line staff on day one.

Non-Goals (V1)

  • Does not allocate housing or override Coordinated Entry prioritization policy.
  • Does not replace HMIS, clinical EHRs, or benefits systems — it integrates with them.
  • Does not make eligibility or benefits determinations.
  • No public-facing client app in V1. First users are staff; a client surface is a later phase gated on trust.
03 / Users

Built for the front line

The first users are staff. The client benefits indirectly — by never having to repeat their story.

Intake / Front-desk Staff

Fast, dignified intake; pull an existing assessment instead of re-keying; flag urgent needs.

Case Manager

A single timeline per client; see availability; make and track referrals; document once.

Outreach Worker

Mobile, offline-tolerant intake in the field; warm handoff to a shelter or service.

Shelter / Program Operator

Keep bed and slot counts current with minimal effort; see inbound referrals; manage capacity.

CoC / Coordinated Entry Coordinator

Network-level visibility; matching support; clean data that rolls up to required reporting.

Client (indirect in V1)

Not repeating their story at every door; consent respected; faster connection to help.

04 / V1 Scope

Five modules, built and rolled out together

Full-platform V1. Each module is validated with the design partner before it expands across the network.

Module 01

Unified Intake & Assessment

Structured digital intake captured once. With consent, an existing assessment is retrieved at the next provider instead of redone. Mobile and offline-capable; trauma-informed; maps to HMIS Universal Data Elements.

Module 02

Real-Time Resource & Bed Availability

A shared, live inventory of beds and program slots across providers. One-tap updates, filter by eligibility and population, with visible "last updated" so trust is earned, not assumed.

Module 03

Cross-Provider Client Record

A consented single record and timeline of touchpoints across the network. Granular, revocable consent the client controls. Identity resolution to stop duplicate records; full access audit trail.

Module 04

Referral & Warm Handoff

Referrals carry the consented record. The receiver can accept, hold, or decline with reason — visible to the sender. SLA timers and closed-loop outcome capture: did the person actually connect?

Module 05

Reporting & HMIS Interoperability

Map to HUD HMIS Data Standards and sync to the CoC's HMIS to cut double entry. Front-line dashboards plus de-identified network metrics — an honest scoreboard, starting at zero.

Cross-cutting

Privacy, Security & Low-Tech Reality

Granular, revocable consent; encryption and role-based access; HMIS privacy alignment and CCPA/CPRA. Works on older devices and weak connectivity; Spanish at minimum; WCAG-aligned.

05 / Success Metrics

An honest scoreboard, starting at zero

North-star: time from first contact to connected service.

Duplicate-intake time saved

Direct staff-time and client-burden reduction (minutes per client).

% referrals with closed-loop outcome

Are warm handoffs actually connecting people?

Median time-to-bed / time-to-service

The thing a person in crisis can least afford to lose.

% records reused across providers

Is "assess once" real?

Staff time: paperwork vs. people

The whole point — more time with people.

HMIS reporting completeness

Does Bridge reduce, not add, reporting burden?

06 / Rollout

Go deep with one partner, prove it, replicate

The same playbook behind Feynman: find the real workflow gap, build a validated tool, measure, then point it at the next provider.

Phase 1

Discovery

Structured outreach in LA and San Bernardino counties. Map intake, triage, referral, and HMIS reporting as they actually operate — before writing a line of code.

Phase 2

Design-partner build

Build V1 with one operator. Start with their single highest-pain module — likely intake reuse or availability — and expand as each module is validated.

Phase 3

Pilot & measure

Run with real caseloads. Publish the scoreboard. Fix what the numbers and staff tell us is wrong.

Phase 4

Transparent report

What we set out to do, what the numbers say, what changed, and what we got wrong.

Phase 5

Replicate

Extend to additional providers within the CoC, contingent on resources and mutual agreement on terms.

07 / Risks & Open Questions

What could go wrong, said plainly

  • Trust & adoption. Staff are overworked and have seen tools that added work. Bridge must save time in week one. Mitigation: build with staff; start with their highest-pain workflow.
  • Consent & privacy. In a vulnerable population, data governance is existential, not a feature. Mitigation: privacy-first design, legal review, client-advocacy input.
  • HMIS interoperability. Vendors and CoC governance vary; integration may be constrained. Open: which HMIS does the partner CoC run?
  • Availability accuracy. A wrong bed count is worse than none. Mitigation: effortless updates, visible staleness, outcome feedback.
  • Scope discipline. "Full-platform V1" still ships one validated module at a time, sequenced by partner pain.

Open questions: Which CoC and HMIS is the first partner on? What is their Coordinated Entry assessment tool? Where is the biggest measured time sink — intake, availability, or referral follow-up? What does the client-advocacy community want us not to build?

See the homelessness data & initiative →