why not just buy
chatgpt enterprise?
it's a fair question. chatgpt, claude, gemini and copilot are excellent tools. they answer questions. blankcollar is the operating system sitting underneath them — memory of your business, codified skills, and agents that act in your slack, your crm, your gmail. they're not the same product. here's the honest comparison.
tools answer.
operating systems run the work.
chatgpt enterprise, claude enterprise, microsoft copilot — these are excellent tools. one tool, one model, one chat window. each is best-of-breed at one thing. blankcollar is the layer underneath: it gives all of them — and your team's slack, crm, gmail and meeting notes — one shared memory of your business and a way to act on it. you don't replace chatgpt with blankcollar. you make chatgpt useful with blankcollar.
where each one wins.
honest version, not marketing. we list what they do well, where the gap is, and where blankcollar fits.
| blankcollar | chatgpt enterprise | microsoft copilot 365 | claude enterprise | |
|---|---|---|---|---|
| memory of your business clients, decisions, voice |
one shared brain across every tool | per-chat memory only | graph of your m365 docs (read-only) | per-project memory |
| codified skills / playbooks how your company actually works |
extracted via codify sprint, versioned, governed | custom GPTs — per-user, prompt-only | copilot studio agents — m365-bound | claude projects — per-team, prompt-only |
| acts inside your tools writes, not just reads |
read + write across slack, crm, jira, github, your ERP | connectors mostly read | acts inside m365 (word, excel, teams) | connectors mostly read |
| named agents with human DRIs finance-controller, support-tier-1, etc. |
named, scoped, human-accountable | no agent layer | copilot studio = chatbots, not co-workers | no agent layer |
| multi-model routing claude, gpt, gemini, open-weight per task |
routes per task; you pick or we pick | openai only | openai + microsoft only | anthropic only |
| swiss hosting / EU sovereignty FINMA · GDPR · DSG · HIPAA-ready |
swiss-hosted by default · on-prem · air-gapped | us-hosted (azure) | us-hosted (azure) · EU geo on enterprise plans | us-hosted (aws) |
| bring your own AI model azure openai, vertex, on-prem llama |
enterprise tier — your endpoint, our routing | openai endpoint locked | microsoft endpoint locked | anthropic endpoint locked |
| pricing model how the bill scales |
per-company + meters per layer | per-seat / month — scales linearly | per-seat / month — scales linearly | per-seat / month — scales linearly |
| your data trains your AI data leaves the tenant? |
never. your tenant. you can take it with you. | opt-out by default | opt-out by default | opt-out by default |
when each one is the right call.
you mostly need
better individual chat.
your goal is to give 50 people a smarter chat window. you don't need writes, agents, or company-wide memory. per-seat is fine. these are the right products.
you live inside m365
and that's enough.
word, excel, teams, outlook. copilot writes the email, drafts the doc, summarises the thread. great for productivity inside one stack. limited outside it.
you want the company
to run on AI.
memory of your business that every AI tool reads from. skills that codify how you actually work. agents that act in slack, your crm, gmail, github, your ERP. swiss-hosted. per-company pricing. and yes — you can keep using chatgpt and copilot underneath.
honest questions.
are you saying chatgpt enterprise / copilot / claude are bad?
no. they're excellent at what they do. chatgpt is the best general chat. claude is the best reasoner. copilot is the best m365 sidekick. they're tools, and our customers use them every day. blankcollar is the layer that makes those tools company-aware and lets agents act on your systems. different category.
but openai / google / microsoft will eventually build this — won't they?
they will build a version. it will be us-hosted, locked to one model, and shaped to a generic company. that's the right product for many. if you need swiss sovereignty, multi-model routing, codified company DNA, named agents with human accountability, and a partner that runs the transformation alongside you — you need something different.
do we have to give up our chatgpt enterprise license?
no. blankcollar plugs underneath chatgpt, claude, gemini, copilot via the connectors they already support. your team keeps the tools they like; every prompt now starts with your company's context.
what's actually different about your "agents"?
in chatgpt and claude, an "agent" is a chatbot you instruct in a prompt window. in blankcollar, an agent is a typed role (finance-controller, support-tier-1, recruiter) with a curated skill set, a scoped memory slice, the tools it's allowed to use, guardrails, and a human DRI who signs off on its actions. it's a co-worker, not an assistant.
can we run an honest pilot to compare?
yes. install blankcollar's startup tier (free trial, 5 minutes) alongside whatever you're using now. run a week of real work. see whether the answers in chatgpt and claude get more useful when blankcollar is underneath. the math usually decides itself.
stop comparing tools.
start running on AI.
free trial of the startup tier. 5 minutes. keep your existing chatgpt / copilot / claude licenses. blankcollar makes them all smarter.