Break the managment ceiling with AI-powered operational intelligence
Joined August 2024
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venture capital: "hire great managers!"
mckinsey: "optimize your org chart!"
harvard business review: "improve meeting efficiency!"
supervised: ELIMINATE the meetings entirely. 🎙️
voice-first AI makes management bureaucracy obsolete.
"mid-level managers turn vision into motion" assumes information needs human routers.
but 90% of coordination work can be automated through voice-first operational intelligence.
the future isn't better middle management. it's eliminating the need for most of it entirely.
Why Mid-Level Managers Are Often The Most Powerful People In The Room forbes.com/sites/benjaminlak…
Supervised retweeted
traditional saas: charge per seat
traditional management: hire more middle managers
traditional meetings: weekly status theater
supervised approach:
> consumption pricing
> horizontal scaling
> voice-first intelligence
the future doesn't optimize past problems. it ELIMINATES them.
Supervised retweeted
watching enterprise companies try to scale ONLY with slack & email is like watching someone try to run a marathon in flip-flops..
technically possible, extremely painful, entirely preventable!! (yikes)
voice-first AI is the RUNNING SHOES. want a pair?? ;))
Supervised retweeted
5 prompts to scale your company:
1. hire more people
2. add more meetings
3. create more dashboards
4. implement more processes
5. get voice-first AI to handle the coordination so you can actually manage ;))
prompts only optimize existing chaos. operational intelligence eliminates it.
5 ChatGPT Prompts To Scale Your Company Without Hiring Anyone
forbes.com/sites/jodiecook/2…
forbes.com/sites/jodiecook/2…
Supervised retweeted
companies lose $2.3M in tacit knowledge every time a key person QUITS.
their insights, relationships, context, and judgment just... disappear FOREVER!!
voice-first AI captures what people actually know, not just what they're willing to document.
when's the last time someone left and took critical knowledge with them?
Supervised retweeted
we've simply built organizations that measure motion INSTEAD of meaning.
input metrics (i.e. meetings attended, emails sent, etc) optimize for the appearance of work while destroying the conditions that enable actual work. intrinsic motivation DIES when you treat thinking humans like production machines.
imo the tragedy isn't inefficiency. it's the SYSTEMATIC ELIMINATION of tacit knowledge through systems designed for compliance rather than intelligence.
voice-first operational intelligence RESTORES the conversational layer where real insight lives. breaking the false choice between transparency AND humanity. 🎙️
Supervised retweeted
76% of critical business decisions happen in conversations, not documents.
> email threads: 12%
> slack messages: 8%
> meetings: 4%
voice-first AI is the ONLY way to capture real organizational intelligence.
everything else is just digital paperwork.
Supervised retweeted
Organisational knowledge in silos? Key pieces of information missing? Supe is on the case!
youtu.be/CEz19LdazQo
Supervised retweeted
Introducing Supe - the AI agent that transforms organizational intelligence. Supe automates knowledge capture and decision orchestration across teams, breaking through the management ceiling
youtube.com/watch?v=bps7dCZC…
Supervised retweeted
Introducing Supervised: Our AI platform helps enterprises break through the "management ceiling"—automating knowledge capture and decision workflows so companies can scale without adding layers.
Learn more: supervised.com
traditional saas: charge per seat
traditional management: hire more middle managers
traditional meetings: weekly status theater
supervised approach:
> consumption pricing
> horizontal scaling
> voice-first intelligence
the future doesn't optimize past problems. it ELIMINATES them.
watching enterprise companies try to scale ONLY with slack & email is like watching someone try to run a marathon in flip-flops..
technically possible, extremely painful, entirely preventable!! (yikes)
voice-first AI is the RUNNING SHOES. want a pair?? ;))
companies lose $2.3M in tacit knowledge every time a key person QUITS.
their insights, relationships, context, and judgment just... disappear FOREVER!!
voice-first AI captures what people actually know, not just what they're willing to document.
when's the last time someone left and took critical knowledge with them?
5 prompts to scale your company:
1. hire more people
2. add more meetings
3. create more dashboards
4. implement more processes
5. get voice-first AI to handle the coordination so you can actually manage ;))
prompts only optimize existing chaos. operational intelligence eliminates it.
5 ChatGPT Prompts To Scale Your Company Without Hiring Anyone
forbes.com/sites/jodiecook/2…
forbes.com/sites/jodiecook/2…
we've simply built organizations that measure motion INSTEAD of meaning.
input metrics (i.e. meetings attended, emails sent, etc) optimize for the appearance of work while destroying the conditions that enable actual work. intrinsic motivation DIES when you treat thinking humans like production machines.
imo the tragedy isn't inefficiency. it's the SYSTEMATIC ELIMINATION of tacit knowledge through systems designed for compliance rather than intelligence.
voice-first operational intelligence RESTORES the conversational layer where real insight lives. breaking the false choice between transparency AND humanity. 🎙️
76% of critical business decisions happen in conversations, not documents.
> email threads: 12%
> slack messages: 8%
> meetings: 4%
voice-first AI is the ONLY way to capture real organizational intelligence.
everything else is just digital paperwork.
Supervised will be at @pointzeroforum in Zurich, 5-7 May. Meet CCO Seamus Donoghue and learn how AI-driven intelligence replaces status-meeting chaos with instant clarity. Message us to arrange a chat
Organisational knowledge in silos? Key pieces of information missing? Supe is on the case!
youtu.be/CEz19LdazQo
Supe makes even the most chaotic document hunts effortless. Watch how Supe locates a critical compliance form lost in a tangle of outdated systems, conflicting files, and fragmented institutional memory.