INDUSTRY PRESET

Pharma & GMP-adjacent production

Controlled serial production with genealogy, QC hold/release, CoA, deviations and CAPA.

No lot ships until its evidence, disposition and responsible approver are complete.

Operating context: BY · RU · KZ · EU6 modules
AI · DE

Digital employees run the work — AI is not a side panel

They read the same documents as your team, prepare the next action, surface exceptions and keep the decision trail inside the process.

You set the authority. Payments, goods receipts and shipments always wait for a person. Everything else, customer messages included, starts as a suggestion and runs on its own only once you allow it and verified results back it.

  1. DAY 1See the process working

    Choose an industry preset and start with realistic demo data; the team sees the target flow before migration.

  2. FIRST WEEKConnect real evidence

    Import or connect source data. Digital employees observe, draft and expose gaps while people confirm decisions.

  3. TARGET · 4 WEEKSMove the operating loop

    For a typical 50-person company, the target is four weeks. Source quality, integrations and legal requirements can change it.

01

One traceable process, not disconnected apps

Controlled batch release
  1. 01Plan
  2. 02Stock & lots
  3. 03Execution
  4. 04Evidence & release
  5. 05Cost & margin

One process, one dataset and a decision trail at every hand-off.

02

Walk through the operating chain and test your impact hypothesis

Pharma & GMP-adjacent production

Choose a hand-off to see how a digital employee prepares the work and where your team keeps authority. Then replace the example assumptions with your own operating numbers.

Illustrative starting assumptions

Interactive process walkthrough

Controlled batch release

The selected hand-off changes the explanation, not your data or system state.

Plan
Signal

A delay, threshold breach or missing piece of evidence is detected in this hand-off.

Digital employee prepares

Binta gathers the linked records, checks dependencies and drafts the next safe action.

Your team decides

A responsible person confirms the exception, authority and business trade-off before execution.

Evidence remains

Source, decision and result stay connected in the operating trail.

Editable impact hypothesis

This model exposes coordination and exception cost already present in the process. It is not a quote, forecast or guaranteed saving.

Annual operating exposure in this model€216,000
Team hours potentially redirected432–1,008
Potential annual operating impact€26,640–€64,080
90-day validation range€6,660–€16,020

How the range is calculated

  • 48 working weeks
  • 15–35% of coordination time redirected
  • 10–25% of exception loss avoided
  • Excludes Binta fees, implementation, taxes, financing and revenue uplift
Take this scenario to a product walkthrough

We will validate the workflow and assumptions before discussing a business case.

03

What the preset brings together

04

Product proof from the working system

Demo quality queue: incoming sampling and lot decisions, two open nonconformities, one overdue corrective action and an unscored supplier audit
Demo quality queue: incoming sampling and lot decisions, two open nonconformities, one overdue corrective action and an unscored supplier audit
Demo warehouse stock: four NORTH products filtered in the table, 826 available units and 75,883 stock value, with movements and product drill-down actions
Demo warehouse stock: four NORTH products filtered in the table, 826 available units and 75,883 stock value, with movements and product drill-down actions