
Team progress and conversation operations portal
Reduce manual status writing while keeping an accurate, reviewable record of team work.
- For
- Engineering managers and team leads running software teams across several connected work tools
- Solves
- Progress lives in scattered tools and chat threads, so standups, updates and issue records are rebuilt by hand and follow-ups are lost.
- Delivers
- Manager-approved standup summaries, update emails and issue records
- Built in
- about 4 weeks of creation time, MVP in 5 days
- Investment
- $12,500 for the MVP, $42,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce manual status writing while keeping an accurate, reviewable record of team work.
- Show one self-updating dashboard of activity across connected tools.
- Generate daily standup summaries from that activity.
- Track follow-ups so open items are not forgotten.
- Summarize long chat threads on demand.
- Draft team update emails from daily work.
- Highlight progress in a shared team demo feed.
- Record decisions, trade-offs and the conversation they came from.
- Flag missing decision context.
- Show source and confidence for each stored fact.
- Let users correct stored facts.
- Set configurable trust levels for observe versus act.
- Detect and organize code issues in the development environment.
- Suggest contextual fixes for detected bugs.
- Visualize issue history and resolution progress.
- Host issue discussion in one place.
- Connect existing tools instead of forcing one ecosystem.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
- Export a versioned manager-approved standup summaries, update emails and issue records with source references and unresolved questions.
Everything these tools do, in one app
- Tool activity dashboard Shows a single self-updating overview of work happening across the team's connected tools.Found in KATA Teams
- Automated standup updates Generates daily standup summaries so teams can reduce or replace standup meetings.Found in KATA Teams, Cleo
- Follow-up tracking Tracks follow-ups so tasks and open items are not forgotten.Found in Cleo
- Conversation summaries Summarizes lengthy chat threads on demand to pull out the key points.Found in KATA Teams
- Team update emails Drafts team update emails from daily work so no one writes them manually.Found in KATA Teams
- Team demo feed Highlights progress in a shared feed so updates can be seen across the organization.Found in KATA Teams
- Decision capture Records decisions, the trade-offs behind them, and the conversation they came from, and flags missing context.Found in Cleo
- Transparent memory Shows the source and a confidence score for each stored fact and lets users correct it.Found in Cleo
- Configurable trust levels Lets teams control how much the assistant observes versus acts on their behalf.Found in Cleo
- Code issue detection Automatically finds and organizes code issues inside the development environment.Found in Stepsize AI
- AI fix suggestions Provides contextual suggestions to help understand and fix bugs.Found in Stepsize AI
- Issue history visualization Visualizes the history and progress of issues so teams can monitor resolution efforts.Found in Stepsize AI
- Issue discussion collaboration Lets team members share and discuss code problems in one place.Found in Stepsize AI
- Existing tool integration Connects to the tools teams already use instead of forcing a single ecosystem.Found in KATA Teams, Stepsize AI
- Quick setup Gets running with minimal setup and maintenance.Found in KATA Teams, Cleo
What goes in, what comes out
- Connected tool activity
- Chat threads
- Code issues
- Team decisions
AI drafts, people review. Operational coordination portal.
- Manager-approved standup summaries
- Update emails
- Issue records
How it works
The workflow
- InStart with
Connected tool activity, chat threads, code issues and team decisions
- 1
Confirm the buyer's problem and scope
- 2
Collect connected tool activity
- 3
Chat threads
- 4
Code issues and team decisions
- 5
Then follow this sequence: 1
- OutFinish with
Manager-approved standup summaries, update emails and issue records
AI does the heavy lifting, people stay in charge
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One connected tool set and one team structure; final status, decision and code-fix judgments remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Connected tools and trust settings, Live team activity board, Review and send queue. Use a board view for teams and workstreams, a central activity timeline, and a right-hand panel for sources, confidence and comments. Let users compare a generated summary against the underlying activity. Display draft, changes requested and approved states. Provide a shared demo feed with comments anchored to the relevant item. Make the task-specific outcome manager-approved standup summaries, update emails and issue records visible beside its evidence, review state and value baseline.
Accounts and administration
Project ownership, connected tool credentials, team membership, trust levels, approval states, usage allowances, retention limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Team-owned chat, issue tracker, code repository and calendar tools. Cloud storage, identity provider and notification destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
5 daysOne buyer segment, one recurring use case; first modules: show one self-updating dashboard of activity across connected tools; generate daily standup summaries from that activity. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
6 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
2 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will engineering managers and team leads running software teams across several connected work tools use it to solve "progress lives in scattered tools and chat threads, so standups, updates and issue records are rebuilt by hand and follow-ups are lost"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted standup summaries per manager hour and follow-ups closed before due date.
- Measure, then decide. Track accepted standup summaries per manager hour and follow-ups closed before due date; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Pilot scope: One connected tool set and one team structure; final status, decision and code-fix judgments remain human. Implement one approved input format, a bounded representative case set and the first two task modules: show one self-updating dashboard of activity across connected tools; generate daily standup summaries from that activity. Support the remaining modules with operator review: track follow-ups, summarize chat threads, draft update emails, record decisions, detect code issues. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around manager-approved standup summaries, update emails and issue records. Retain the explicit scope boundary: One connected tool set and one team structure; final status, decision and code-fix judgments remain human.
What the build depends on. Connector authentication, activity ingestion, asynchronous summarization jobs, editable version history, reviewer access and tested export formats. High-fidelity code analysis requires repository access and specialist QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One connected tool set and one team structure; final status, decision and code-fix judgments remain human.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: show one self-updating dashboard of activity across connected tools; generate daily standup summaries from that activity. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$42,500about 4 weeks of creation time · start with the MVP from $12,500
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $40–$90 | $70–$150 |
| Full productabout 50 customers | $110–$210 | $280–$560 | $390–$770 |
Run it or resell it
For your own team
Engineering managers and team leads running software teams across several connected work tools run it inside the business: connected tool activity, chat threads, code issues and team decisions in, manager-approved standup summaries, update emails and issue records out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#277691 - accent
#c98754 - surface
#e4eef1 - ink
#22201e
- Headings
- Archivo
- Text
- Lora
- Voice
- Technical, direct, no hype
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined team and tool set. Offer a monthly production allowance after repeat demand. Quote complex multi-team or custom integration work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded manager-approved standup summaries, update emails and issue records workflow. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.
Message to test
Reduce manual status writing while keeping an accurate, reviewable record of team work. Demonstrate a concrete manager-approved standup summaries, update emails and issue records workflow using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Engineering managers and team leads running software teams across several connected work tools professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample manager-approved standup summaries, update emails and issue records workflow from a small authorized input set, with a transparent calculation of accepted standup summaries per manager hour and follow-ups closed before due date and no promised savings.
The first 30 days
- Week 1: interview five engineering managers and team leads running software teams across several connected work tools and inspect a recent example of progress living in scattered tools and chat threads, so standups, updates and issue records are rebuilt by hand and follow-ups are lost.
- Week 2: prepare a consented or synthetic demonstration of the task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure accepted standup summaries per manager hour and follow-ups closed before due date, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.
Paid pilot
Agree quality and outcome thresholds before the pilot using this measure: Accepted standup summaries per manager hour and follow-ups closed before due date. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.
Success metrics
Accepted standup summaries per manager hour and follow-ups closed before due date; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs manager-approved standup summaries, update emails and issue records. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.
Why clients would pick it
A reusable library of approved team configurations, trust settings and review examples, together with reliable delivery for a narrow engineering niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for engineering managers and team leads running software teams across several connected work tools. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
KATA Teams, Stepsize AI and Cleo, plus manual standups, chat summaries and issue trackers. Compare this product with the buyer's present method on accepted standup summaries per manager hour and follow-ups closed before due date. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Model calls, connector maintenance, storage, reviewer hours, client revision rounds and licensed source tool access. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of manager-approved standup summaries, update emails and issue records. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve team privacy, source attribution, decision accuracy and usage permissions. Managers approve substantive status, decision and code-fix changes and publication scope. One connected tool set and one team structure; final status, decision and code-fix judgments remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.