12 meetings a week, 47 status updates a month, and institutional knowledge that walks out the door every time someone quits. Kent captures all of it and makes it searchable, permanent, and private.
Knowledge
Enterprise employees spend 19% of their workweek searching for internal information, according to McKinsey's 2025 Digital Workplace Report -- nearly a full day per week looking for documents, policies, decisions, and tribal knowledge that exists somewhere in the organization but nobody can find. Kent's knowledge graph captures institutional memory as a side effect of daily work. Every document reviewed, every email analyzed, every meeting summarized becomes a searchable node. When a new team member asks "Why did we choose AWS over Azure?" the answer is in the graph -- complete with the decision date, the evaluation criteria, and the stakeholders involved. No more re-researching decisions that were already made.
A new hire on the platform team asks why the company migrated from PostgreSQL to DynamoDB last year. Nobody on the current team was involved in the decision. You ask Kent: "Why did we migrate from PostgreSQL to DynamoDB?" Kent returns: "Decision made October 2025 by the infrastructure team (led by Marcus Chen). Reasons: PostgreSQL connection pooling hit ceiling at 12,000 concurrent users during Black Friday 2024. DynamoDB evaluated alongside CockroachDB and Aurora. DynamoDB selected for auto-scaling and pay-per-request pricing. Migration completed January 2026. Post-migration note from Marcus: latency improved 34% at peak load." The new hire gets a complete answer. You did not remember any of this.
Meetings
The average enterprise employee attends 11.7 meetings per week, according to Microsoft's 2025 Work Trend Index. Executives attend 18.3. Harvard Business Review found that 71% of senior managers consider meetings unproductive, yet meeting volume has increased 69% since 2020. The meetings themselves may be unavoidable -- but the 15-20 minutes of post-meeting note-writing per meeting is not. Dictate your notes immediately after each meeting. Kent transcribes, extracts action items with owners and deadlines, identifies key decisions, and saves everything to the project workspace. Twelve meetings become twelve structured records instead of twelve calendar blocks you vaguely remember.
You finish a cross-functional sprint planning meeting and dictate for 2 minutes: "Engineering committed to the API refactor by sprint end, design owes the updated mockups by Wednesday, QA needs the test plan by Thursday, and product wants to revisit the scope of the notifications feature -- Maria thinks it is too broad." Kent extracts: "4 action items: (1) Engineering -- API refactor, due end of sprint (2) Design -- updated mockups, due Wednesday (3) QA -- test plan, due Thursday (4) Product/Maria -- revisit notifications scope (no deadline set -- flag for follow-up). Key decision: notifications feature scope under review." Paste into Jira. Move on.
Reports
Status reports are universally hated and universally required. A 2025 Asana Anatomy of Work study found that knowledge workers spend 58% of their time on "work about work" -- status updates, check-ins, and reporting that describes work rather than doing it. The worst part: most status reports are written from memory on Friday afternoon, which means they are incomplete, biased toward recent events, and missing important details from earlier in the week. Kent's knowledge graph has been tracking your work all week. Every skill execution, every document analyzed, every email summarized is a timestamped node. Ask Kent: "Generate my status report for this week" and get a chronological, accurate summary of what you actually accomplished -- not what you remember accomplishing.
Friday at 4pm, you ask Kent: "What did I accomplish this week on Project Atlas?" Kent returns: "Monday: Reviewed and commented on the architecture proposal (3 issues flagged). Tuesday: Led stakeholder alignment meeting (4 action items, 2 completed). Wednesday: Completed vendor evaluation matrix (5 vendors scored across 8 criteria). Thursday: Drafted the executive summary for the steering committee. Friday: Resolved the API authentication blocker with DevOps (root cause: expired service account)." You copy-paste into the status template. Your manager gets a detailed, accurate report that took you 30 seconds instead of 20 minutes of Friday-afternoon archaeology.
Onboarding
The average enterprise onboarding takes 6-12 months to reach full productivity, according to a 2025 Brandon Hall Group study. The primary bottleneck is not training -- it is context. New hires lack the accumulated organizational knowledge that tenured employees take for granted: who owns what, why decisions were made, where to find information, and how things actually work versus how the documentation says they work. Kent's knowledge graph, built over months or years by the team, serves as an instant institutional memory for new hires. Instead of asking 15 people 15 questions over 3 weeks, the new hire asks Kent. The answers draw on the accumulated knowledge of everyone who contributed to the graph.
A new product manager joins mid-sprint. She asks Kent: "What is Project Atlas, who are the key stakeholders, and what decisions have been made in the last 30 days?" Kent returns a structured briefing: project scope, team roster with roles, 4 key decisions from the last month (with rationale and participants), 3 open action items, and 2 upcoming milestones. She also asks: "What should I know about working with the engineering team on this project?" Kent surfaces a note from the previous PM: "Engineering prefers async updates in Slack over meetings. Sarah (tech lead) is the decision-maker on architecture. Do not schedule meetings before 10am -- the team has a standing agreement." The new PM is productive on day 2.
Cross-Team
Enterprise silos are the most expensive organizational problem nobody budgets for. A 2025 Forrester study estimated that information silos cost large enterprises $12.9 million per year in lost productivity and duplicated work. The problem is not that teams refuse to share -- it is that they do not know what other teams know. Kent's connector architecture bridges silos by giving the AI access to information across systems. Connect Gmail for communication context, Google Drive for document context, Notion for project context, and databases for operational data. When you ask a question, Kent synthesizes across all sources -- surfacing relevant information from teams you did not know to ask.
You are preparing a proposal for a new client in the healthcare sector. You ask Kent: "What do we know about healthcare clients?" Kent synthesizes across your connected sources: "3 active healthcare clients in the CRM. Marketing published a healthcare case study in April (Google Drive). The compliance team updated the HIPAA checklist in May (Notion). Engineering completed a healthcare-specific API integration last quarter (Jira). Sales closed 2 healthcare deals in Q1 using the ROI calculator (Salesforce notes)." You just discovered 5 relevant resources across 5 teams without sending a single Slack message.
Security
Gartner's 2025 AI Governance Survey found that 47% of enterprises have restricted or banned consumer AI tools due to data residency concerns. The fear is justified -- every query to a cloud AI service is a data transfer that may violate compliance policies, expose intellectual property, or create regulatory obligations. Kent's architecture separates persistent intelligence (local) from transient inference (cloud or local). The knowledge graph -- containing years of institutional memory, client data, strategic plans, and proprietary information -- never leaves the organization's machines. Cloud AI providers receive only the current query with minimum necessary context. For the most sensitive work, Private Mode runs fully local inference with zero network calls. Enterprise security teams get AI productivity without AI data exposure.
The legal team needs AI assistance drafting a response to a regulatory inquiry. The inquiry references confidential financial data, ongoing litigation, and privileged communications. The CISO would veto sending any of this to a cloud AI provider. In Kent's Private Mode, the legal team processes the entire inquiry locally: summarizing the regulator's questions, drafting responses, cross-referencing internal documents, and generating a timeline of events. Zero data leaves the network. The CISO signs off because the architecture makes data exposure impossible, not merely unlikely.
Join the wait list. Be first to know when Kent launches.
Bring Kent to Your Team