ChatGPT and Claude can analyze notes once. Loose Ends is different: it turns follow-ups, promises, missing owners and risks into tracked items with SLA timers, status, reminders, history and escalation guidance.
People do not need one more place to ask AI a question. They need a simple system that remembers what was found, what is still open, what is due soon and what should be escalated.
Paste, upload or forward meeting notes, emails, call transcripts, Notion pages, NotebookLM notes, chat updates, support notes or project reports.
Follow-up needed, promise made, missing owner, risk, SLA, freshness, escalation trigger, suggested reply, status and reminder.
Warm leads, customer questions, partner requests and internal asks that quietly age.
Decisions, next steps and blockers mentioned in passing but not assigned to anyone.
Delays, dependencies, repeated problems and “we should check” items that never become visible.
A chatbot can find action items if you paste notes and ask the right prompt. The missed opportunity is what happens next: tracking status, enforcing SLA, remembering history, detecting repeats and reminding the right person before work goes stale.
Keep a record of open, overdue, resolved, dismissed and repeated loose ends across reports.
Move items through open, due soon, overdue, escalated and done instead of producing a one-time summary.
Surface problems that keep coming back across weekly updates, customer notes or engineering signals.
The product should first prove that an MSP manager can see missed follow-ups, SLA risks and repeated blockers clearly enough to pay for a pilot. We keep the first version lean, private and focused on real workflows.
Use sample ticket exports, meeting notes and email snippets to show the report, dashboard, timeline and escalation view.
Move to a 30–60 day pilot only when an MSP agrees there is enough value in weekly reports, SLA tracking and manager-ready summaries.
Design the workflow so each customer’s data stays separate, reports are repeatable, reminders are reliable and the service can grow without changing the user experience.
The real product is not extraction. It is communicating what might slip, why it matters, who should act, how soon, and when it should be escalated. Every loose end should become a decision-ready item.
Low, medium, high or critical based on customer impact, revenue impact, delivery impact and urgency.
Each item gets a response window, due time and status so work does not become stale.
Clear guidance for when to watch, act, escalate or treat the item as critical.
Customer questions, pricing requests, proposal follow-ups and frustrated language should usually be handled within 4–24 hours.
Missing owners, project blockers, waiting-on-someone items and unclear decisions usually need action within 24–48 hours.
Documentation updates, improvement ideas and non-urgent clean-up can be tracked over 3–7 days without becoming noise.
The roadmap should avoid premature cost, but not paint us into a corner. We start with a private demo, validate through paid pilots, then roll out a secure customer-ready product.
Show how pasted notes or ticket exports become a Loose Ends report with SLA defaults, risks, owners and a timeline.
Use the local app to run a 30–60 day MSP POC with ticket exports, email/chat samples, weekly reports, SLA risks and manager-ready summaries.
After paid intent, provide a secure hosted experience with saved loose ends, separated customer data, due-soon and overdue states, reminder emails and simple status updates.
Add audit history, repeat detection, report exports, usage limits, role-based access and human approval before external messages.
Import or connect sources like Microsoft 365, Teams, shared mailboxes, Notion, NotebookLM notes, docs, Slack, PSA tools, Jira or Linear without forcing users into a new workspace.