AgileKoc ToolsDiagnosis is fuzzy
Teams jump to solutions before the real behavioral bottleneck is clearly identified.
AI Coaching Platform
Real coaching for Scrum Masters: from friction to measurable outcomes
Not just chat. It helps you diagnose the problem, build hypotheses, design experiments, track check-ins, and close the loop with review.
Problem -> hypothesis -> experiment -> check-in -> review loop
Structured outputs every session: plan, metric, risk
Topic-based sessions with persistent progress context
The Scrum Master reality
Known issues repeat, actions drift, and impact remains invisible.
Actions do not close
After retros, intention exists but follow-up is weak. The same topics return next sprint.
Impact is hard to show
Without measurable signals, your improvement effort is hard to communicate to stakeholders.
What makes it different?
Scrum Master Coach Agent turns conversation into a coaching system.
Retains context
Team context, signals, and decisions are stored in state, so you do not restart from zero.
Drives decisions
Produces actionable experiment plans and measurement logic, not generic advice only.
Enforces follow-through
Check-in logic keeps execution visible and prepares review with real signals.
Coaching workflow
A stage-based model that keeps quality consistent in every session.
1
Intake
Clarifies the core issue and desired outcome.
2
Diagnose + Focus
Collects concrete signals and sets one high-impact focus area.
3
Experiment Plan
Creates a 7-14 day experiment with metric and risk.
4
Run + Review
Uses check-in results to assess progress and suggest the next adjustment.
Live Coaching System
1Intake
2Diagnose + Focus
3Experiment Plan
4Run + Review
Continuous Improvement Loop
RunningSignal
Experiment
Check-in
Review
Adjust
Why not a generic chat model?
General models can answer anything. This agent is built to coach Scrum Master improvement as a managed process.
Topic
Generic Chat
Coach Agent
Focus
General-purpose conversation
Purpose-built Scrum Master coaching flow
Memory
Limited / fragmented context
Session state with stage progression
Output
Free-form suggestions
Actionable deliverables: plan, metric, risk, check-ins
Follow-up
Mostly user-driven
Built-in check-in and review closure
Concrete outputs you can use immediately
You leave each session with a clear next move.
Focused problem statement
Prioritized hypotheses
Experiment steps with timebox, metric, risk
Follow-up check-in prompts
Review summary with next adjustment
Transparent usage model
Users clearly see what they buy and what they spend.
Session start: 35 🪙 / 20 messages
Session extension: 15 🪙 / +10 messages
You get 50 🪙 signup bonus to test quickly.
Enterprise: on-prem + internal knowledge base
For enterprise teams, the agent stack can be deployed in your environment so data stays inside.
On-prem or private VPC deployment path
Internal knowledge base integration (policies, terms, playbooks)
Security, access, and observability aligned with your standards
Multi-agent expansion for retro, planning, stakeholder facilitation
Frequently asked questions
Who is this for?
Individual Scrum Masters, Agile Coaches, and consultants who want a structured improvement loop rather than one-off advice.
Is it only chat, or does it manage a process?
It manages a process. It uses stage-based progression from diagnosis to experiment and review.
Do my sessions persist?
Yes. Sessions are topic-based and can be resumed later with context retained.
Can enterprise data stay internal?
Yes. With on-prem style deployment, data residency and internal knowledge customization can be enforced.
Make your Scrum Master impact visible
Replace repeated sprint friction with measurable, coach-driven improvement.