Step 1
Signal Audit
We identify where work enters the company, who owns it, what context is missing, and where demand loses visibility.
AI-native operations for companies that still need control
Make your company AI-native.
Primd turns the work and tools you already run into an AI operating layer your team can inspect and control.
Existing stack, AI-native layer
Your company already runs across tools, docs, inboxes, and suppliers.
Primd turns that scattered operating stack into workflows AI can read, coordinate, and report on without replacing the systems or relationships already carrying the work.
Telegram 
Slack 
LINE 
Google Workspace 
Gmail 
Notion 
Airtable 
HubSpot 
Salesforce 
Shopify 
Vercel Buying AI did not make the company AI-native.
The board sees new tools. Operators still chase context, approvals, and ownership by hand.
Before Primd
AI use depends on individual employees
Company context is scattered across tools
Approvals and follow-ups live in memory
The owner still asks for every status update
After Primd
AI follows the company's operating model
Context is pulled into one working view
Humans approve the moments that matter
Management gets visibility without chasing
Start with one workflow. Leave with an operating model.
A focused first workflow shows the team what AI-native operations feel like before you commit to a larger transformation program.
01 / Map
Turn the real process into a blueprint.
We capture the trigger, business context, capability map, approval points, owner, handoff, and expected outcome before anything is automated.
02 / Connect
Connect the tools already carrying the work.
Telegram, Slack, LINE, Google Workspace, CRM, product systems, and internal docs become one AI-readable operating layer. Supplier emails, RFQs, spec sheets, and quote docs can join the same map.
03 / Govern
Keep AI useful, visible, and under control.
AI can draft, route, remind, and report. Decisions, customer-facing sends, quote commitments, sample promises, and exceptions stay behind clear human gates.
04 / Hand off
Give the operating model back to the company.
Your team gets the workflow, the manual, the failure points, and a 30-day check on what drifted after real use.
The company becomes readable and runnable by AI.
AI-native transformation needs more than a model. It needs context, workflow, and governance your management team can inspect.
Step 2
Context Architecture
We bundle SOPs, policies, customer history, supplier capability, pricing rules, and operating constraints into a layer AI can use before it acts.
Step 3
Governance Deployment
AI drafts, routes, logs, and reports while approvals, customer-facing decisions, and exceptions stay behind human gates.
Not more software. Not transformation theater.
A practical path to AI-native operations without ripping out the systems, suppliers, and relationships your company already depends on.
Company-level AI, not employee experiments.
AI follows agreed workflows instead of depending on who writes the best prompt.
No stack swap.
The tools and relationships stay. The operating layer around them becomes AI-native.
No consultant dependency.
You keep the workflow, the manual, the ownership, and the 30-day check.
Questions owners ask before they move.
Short answers here. The call maps the first workflow.
Is this an AI strategy project or an implementation?
Implementation first. We start with one real workflow so the strategy is proven inside your actual company stack.
Why start with one workflow?
One workflow is small enough to ship and concrete enough to reveal the operating model your company can repeat.
Do we have to change tools?
No. We connect the tools, docs, inboxes, and supplier records already carrying the work. No migration, no company-wide system replacement.
How do we keep control?
Your team keeps the gates. AI drafts, routes, reminds, and reports; anything with business risk waits for human approval.
What happens after handoff?
You keep the workflow, the operating manual, and the ownership. We run a 30-day check on what broke, drifted, or needs adjustment.
How does pricing work?
Fixed setup fee, scoped after the first workflow map. No retainer.
Start the AI-native transition with one workflow.
A 30-minute call, no prep. We map the first workflow, identify the operating layer, and tell you whether it can ship in 14 days.