TwoPoints

01 · The Problem

Decision-making is slower than the data.

You collect massive input — staff engagement, stakeholder feedback, operational data. The bottleneck isn't collection. It's clarity.

01

Survey fatigue

50-question annual surveys with low response rates. The people you most need to hear from stop answering.

02

Delayed insights

Surveys go out, responses come in, then weeks pass waiting on an analyst to summarize. Leadership acts on stale signal.

03

Unread free-text

The long, honest answers — where the real signal lives — get skimmed or ignored. Nobody has time to read thousands of them.

04

Reactive decisions

Crises surface first from complaints, not systems. You're always answering, never anticipating.

02 · How it works

Three steps. Listen → Read → Act.

Forms you design, AI that reads every response (including the long ones), and initiatives that actually get shipped. No data analyst in the middle.

STEP 01

Engagements

Input

Structured, high-signal input collection at the moments that matter — no 50-question surveys required.

Short, targeted questions
Continuous or periodic
Coverage & bias tracked per audience

STEP 02

Insights

Synthesis

AI reads across every engagement, clusters signals, and surfaces what matters with recommended actions.

Pattern detection across feedback
Identify the good, bad, and opportunities
Living knowledge base, not a snapshot

STEP 03

Initiatives

Action

Every insight lands as an initiative with a confidence level, owner, and decision state

Confidence in your direction
Owners, status, and follow-through
Follow-up engagements for your solution

03 · From insight to initiative

Not every insight needs action. The ones that do become initiatives.

TwoPoints surfaces themes with a sense of how strongly they're signaling — so leadership can tell what's loud, what's emerging, and what's worth watching. The important ones turn into initiatives you actually run.

Positive

Discharge-team communication

Recurring positive theme across two units. Already working — noted for the playbook.

noted

Negative

EHR documentation burden

Frustration showing up in free-text. Watching for spread before scoping a response.

monitoring

Constructive

Night-shift staffing imbalance

Specific suggestion surfaced repeatedly: re-balance the rotation. Worth running.

→ initiative

04 · Outcomes

Built for environments where decisions actually matter.

Multi-stakeholder, high-stakes, continuous feedback. TwoPoints is deployed in healthcare systems, universities, and hospitality operations — anywhere input-to-action velocity moves the P&L.

Faster decisions. Fewer blind spots.

TwoPoints turns fragmented input into clear, actionable direction. Leaders see what's worth acting on, what's worth watching, and what their people are actually saying.

01
Reduced blind spotsBias & coverage tracked automatically across every audience.
02
Alignment across leadershipShared signals replace dueling dashboards.
03
Proactive, not reactiveIssues surface early — from signal, not from crisis.

05 · Why not DIY

Can't I just do this with AI myself?

You can get a summary. You can't get a system. Off-the-shelf AI answers one prompt at a time — decision intelligence is a loop that has to run continuously, across your organization, with accountability built in.

DIY WITH OFF-THE-SHELF AI

A summary, not a system

Real org data exceeds context windows — you're analyzing a slice, not the whole
One-off prompts, not a continuous loop. Every refresh restarts from zero
No confidence, coverage, or bias signal — you can't tell a real pattern from a hallucination
Insight ends in a chat window. No owner, no initiative, no follow-through
Sensitive data in a consumer tool — governance, audit, and BAA gaps
Prompt-engineering burden falls on every analyst, every time

Purpose-built decision intelligence

Semantic retrieval over your full knowledge base — no context-window ceiling
Continuous engagement loops, not one-shot queries — signals compound over time
Confidence, coverage, and bias scored on every insight — know what to trust
Insights become initiatives with owners, states, and closed-loop tracking
Single-tenant, encrypted, no training on your data — governance built in
Prompting, retrieval, and guardrails engineered once — your team just uses it

06 · AI + Human

Not replacing people. Amplifying judgment.

AI synthesizes and identifies patterns first. Humans validate the insight, collaborate on the decision, and commit. The result is a trusted, defensible call.

07 · Security & compliance

Built for organizations with strict governance.

Single-tenant, encrypted end-to-end, designed to support HIPAA and work alongside your internal IT and security teams.

Deployment

Single-tenant by default

Dedicated deployment per customer
No shared data environments
Hosted securely in AWS
Your data, isolated & controlled

Data security

Industry-standard encryption

Encrypted in transit & at rest
Role-based access controls
Audit trails on every action
Aligned with healthcare best practice

AI handling

No model training on your data

OpenAI API for insight generation
Customer data never used to train
Not retained beyond use
AI used safely, without exposure

Compliance fit

HIPAA-aligned architecture

Designed to support HIPAA
Works with your IT security team
Aligns with existing healthcare IT

08 · FAQ

Questions leaders ask.

How is this different from a survey platform?

Survey platforms collect responses and stop there. TwoPoints reads every response — including the long free-text ones — clusters the themes, and suggests initiatives to solve problems or scale what's working. It's an execution system, not just a data collector.

Do we need a data analyst to use this?

No — that's the point. TwoPoints does the reading and clustering work an analyst would normally do on thousands of free-text responses, and surfaces the themes and suggested initiatives directly to leadership. Your team reviews and decides; they don't spend weeks synthesizing.

How does TwoPoints work with our existing tools?

We ingest structured and unstructured input from the systems you already run — HRIS, ticketing, patient experience platforms, existing surveys — and sit alongside your AI stack via standard APIs. We don't ask you to replace what's working.

Can it handle our data volume?

Yes. TwoPoints is architected around semantic retrieval and a persistent knowledge base, not a single-shot context window. It's designed from the ground up for org-scale, multi-year input.

Is this safe to use with sensitive data?

Yes. Single-tenant deployment, encryption in transit and at rest, role-based access controls, and no customer data ever used to train external models. Designed to support HIPAA and to work with your IT/security team on validation.

What does implementation look like?

Typical pilots run 30–60 days. We start with one decision loop — a specific audience, a specific question — and expand from there. You'll see signals in the first two weeks.