Why now
Accessibility is moving from feature-level decisions to system-level accountability.
Three forces make Part 14 implementation (and proof) urgent:
- AI mediation is exploding — captions, summaries, agentive call flows, and automated decisioning now sit inside communications products.
- Systems are becoming more distributed — mobile, web, conferencing, identity, delegation, and third‑party integrations create “unknown edges.”
- Recordkeeping expectations are rising — regulated buyers increasingly need defensible evidence, not marketing claims.
14ten exists to make that shift tractable: signals → rules → evidence → assertions.
Market pull (what buyers already want)
Regulated organizations and large platforms are converging on the same ask:
- “Show me how you know accessibility worked — in the real world — across devices and contexts.”
- “Make it auditable without a hero engineer.”
- “Give me repeatability I can scale across products.”
14ten translates this into a durable operating model:
- A common language for accessibility events (discrete, immutable signals).
- A deterministic decision layer (rules with traceability).
- A recordkeeping output (persisted evidence + audit-ready assertions).
Wedge → expansion (GTM that fits the reality)
14ten is intentionally not a single product. The go-to-market path is:
- Wedge: one high-stakes workflow (e.g., conferencing, contact center, telehealth, customer support communications).
- Proof: ship evidence + assertions that map cleanly to Part 14 outcomes.
- Expand: reuse the same primitives across adjacent workflows and product lines.
This is how “frameworks” win: once the evidence model is adopted, it becomes the default.
Moat (why this isn’t a checklist)
14ten’s defensibility comes from the structure, not the copy:
- Event taxonomy + envelope discipline: consistent semantics, provenance, and integrity.
- Determinism + traceability: decisions are explainable and replayable.
- Recordkeeping by design: evidence is produced as a first-class system output.
- Deaf-first correctness: lived experience shapes what gets measured (and what “worked” actually means).
This is hard to imitate because it requires cross-domain rigor: policy, systems engineering, and accessibility practice.
Salesforce-native path (how 14ten becomes a platform layer)
The cleanest path to adoption is to express 14ten as Salesforce-native primitives:
1) Objects (data model)
- Signal__c: the discrete event (caption started, speaker identified, UI state changed, error surfaced).
- Envelope__c: provenance + integrity wrapper (device, session, version, timestamps, actor, consent context).
- Evidence__c: persisted artifact pointers (logs, transcripts, media references, test runs).
- Assertion__c: computed, audit-ready claim derived from evidence (including rule version + inputs).
2) Deterministic rules
- Flow / Apex / Rules Engine to compute state and produce assertions.
- Store rule versions and dependencies so assertions are replayable.
3) Dashboards buyers already understand
- Compliance posture by product/workflow, device class, and environment.
- Coverage gaps (where signals are missing).
- Incident review (evidence trail from user report → system signals → assertion results).
4) Distribution
- Nonprofit Cloud / Government Cloud: governance and reporting that fits regulated operations.
- Service Cloud: case-based accessibility incidents with attached evidence trails.
- Slack: evidence “snapshots” for incident response and ops.
What a pilot looks like
In 30–60 days, a credible pilot can:
- Instrument a single workflow to emit signals.
- Persist evidence (logs/transcripts) with provenance.
- Generate a small set of assertions mapping to Part 14 outcomes.
- Deliver a dashboard that makes gaps obvious.
The win condition is not “we built captions.” It is: we can prove what happened, when, for whom, on what device, under what constraints.
If you’re evaluating this as Salesforce Ventures
14ten is a trust primitive for accessibility — positioned the way Salesforce likes:
- Upstream of many products
- Native to governance + reporting
- Naturally enterprise‑shaped
- Aligned with mission and regulatory reality
If you want to go deeper, see the architecture model and evidence outputs: