Notizen zum Einsatz von KI in der echten kommerziellen Praxis.
Ehrliche, praxisnahe Texte über die Workflows, die wir bauen – Angebote, Schätzungen, Bepreisung und Umsetzung. Geschrieben von Ashish Mishra.
The best AI workflow for technical RFP & security questionnaires
Done-for-you technical and security questionnaire answers, sourced and human-reviewed — the AI workflow to unblock stalled deals without burning engineers.
The best AI workflow for activation & onboarding
Drop-off analysis and persona-based onboarding flows that shorten time-to-value — the AI workflow for getting more new users to their first real outcome.
The best AI workflow for customer intelligence & churn
Voice-of-customer, personas, and churn/expansion signal from product, usage, and support data — know who is leaving and who will expand before revenue moves.
The best AI workflow for delivery & ops intelligence
A PMO copilot that synthesizes status and detects scope-creep, risk, and margin leak across live projects — so you see problems while you can still fix them.
The best AI workflow for pricing & packaging
Willingness-to-pay analysis, tier design, and discount control — the AI workflow for pulling your highest-leverage revenue lever with discipline.
The best AI workflow for project estimation & margin protection
Turn a scope into defensible effort, cost, and staffing with a stated assumption behind every number — and stop estimating from a blank page.
The best AI workflow for proposal & SOW generation
The intake → scope → estimate → proposal pipeline that turns a messy opportunity into a scoped, priced, human-approved SOW — and the mistakes to avoid.
Input is the real work: output generation is now cheap, fast, and iterable
Output generation is now cheap and fast. The bottleneck moved upstream to input and judgement. Here is what that means for any firm trying to deploy AI.
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