Introducing Dystil

You want your teams to become AI-native. Nobody has a map.

Dystil maps how work actually happens across your teams, captures the expertise trapped in people's heads, and finds the automations and agents worth building.

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18 people4 pods3 weeks scanned

Last ingested 09 Jul 2026, 04:12

Across 18 members in Marketing and Sales pods in your org, we found

0% of your workforce hours are AI-addressable

21 findings · 6 knowledge-risk points · 4 SOPs auto-recovered

Save moneyAgentificationNew

22% of Marketing's time is coordination overhead

Status updates, meeting prep, and rekeying between the CRM and the deck. Roughly half of it is automatable today.

148 hrs

per month

Reduce riskKey-personPersistent

The quarterly close runs through one person

An eleven-step sequence performed by one analyst, documented nowhere. SOP drafted from observed behavior, ready for review.

1 of 18

bus factor

Make moneyCapabilityNew

One workflow, four different ways across pods

Standardize the lead-qualification path and the same work returns to the calendar as selling time.

96 hrs

per month

Do not botherCopilot

Contract review, flagged and set aside

High hours, but the system has no API and legal signoff kills the payback. Not worth doing this year.

Low

adoption odds

Scan 04 · findings ranked by computed priority · evidence attached to every rowIllustrative. Every diagnostic shows your org.

The gap

Most AI adoption is guesswork.

Companies are buying AI tools before they know where AI should actually be applied. The result: scattered copilots, unclear ROI, and automation efforts that miss the real bottlenecks. These tools by themselves don't understand the flow of work across your organization and lack essential domain knowledge.

Which workflows repeat every week?

Where are teams losing time?

Which handoffs break most often?

What knowledge is trapped in people's heads?

What work should be automated first?

How it works

How Dystil synthesizes intelligence.

A multi-layered approach to mapping organizational DNA and identifying high-leverage automation vectors.

Tribal Knowledge Map

ROI-Driven Deployment

Local Intelligence

Dystil sits on employees' devices, observing and understanding their unique work patterns with zero-latency local processing.

Synthesis

Connects local signals across the organization to map the true org-wide workflow, revealing hidden dependencies.

Strategic ROI

Generates reports for leaders that pinpoint high-ROI AI opportunities and provides a concrete implementation plan.

Domain Knowledge

Continuously builds a proprietary domain knowledge base, ensuring your AI models understand your specific business context.

First the map. Then the work. What accumulates is a company brain.

Privacy native

Work intelligence, not employee surveillance.

Dystil is built to understand workflows, not monitor people. Most private data is processed locally, and sensitive info is never stored—even on your own device. Data is never persisted, ensuring total operational privacy.

Maximum Privacy

Your Computer

Dystil runs small AI models on each employee's computer. Their local data gets processed where it is and doesn't leave their device.

Compatibility based on computer specs

Cloud Repository

Our Zero-Retention Cloud

Securely store people, projects, workflows, and SOPs to enable org-wide flow analysis. Sensitive activity data is processed locally and never persisted.

Enterprise Deployment

Your Cloud Ecosystem

Host the entire stack on your company's own cloud infrastructure. Your data never touches our servers, maintaining full internal control.

Pricing

Find where AI pays off before you spend on it.

The first diagnostic takes a week. Then it keeps pace as processes shift and SOPs change. You always have a current picture of how your org actually works.