Applied AI in operations

From pilot to daily work: AI deployed in the operation, run by your team. Agents and automations built in your own Microsoft 365, decision models for cost, supply and capacity, and the governance and training that make them hold.

See how we build an agent

Services

What this covers.

Each service below can run as advice, delivery leadership or an operating role. What we never do is hand over a report at the door.

01

AI opportunity mapping and roadmap

Recurring work, slow decisions and costly handoffs mapped with the people who do the job. Opportunities ranked by business value, data readiness and implementation effort, with a recommendation on what to build first and what needs groundwork.

02

AI agents and workflow automation

Agents and automations designed, built and deployed for sourcing, supplier follow-up, planning and reporting. Connected to approved information and systems, with defined responsibilities, approval points and exception handling. Built in your own Microsoft 365, with Copilot Studio and Power Automate.

In use at a clientFor a multi-site company, our spend analysis agent prepares the quarterly picture across all sites. The review that took two weeks now takes two days.

In use at a clientOur supplier follow-up agent asks suppliers to confirm each order and its delivery date, flags the ones that have not answered, and follows up. The buyer handles the exceptions.

Supplier follow-up agentSee how we build an agent
03

Decision intelligence and simulation

Forecasting, cost modelling, optimisation and simulation applied to decisions about demand, inventory, suppliers and capacity. Assumptions made explicit and options tested before resources are committed. In procurement, these models run inside Alterna, the platform we built for bill-of-materials pricing and alternatives.

Realised result$1M saved in validation batches and a second construction phase deferred, after our cell-therapy digital twin put capacity 30% (modelled) above the previous estimate. Read the case →

04

AI operating model and governance

The rules for how AI opportunities are selected, funded, approved and owned across the company. Responsibilities, decision rights, data access and review routines set with the managers who will run them. For regulated workflows, validation requirements agreed with Quality before the build.

05

AI workshops and team adoption

Hands-on Microsoft Copilot workshops for procurement and sales & marketing teams, built around the participants' own tasks. People learn to prepare inputs, assess outputs, build agents and improve their own workflows. An optional four-week follow-up measures whether the new way of working holds in daily work.

See the workshops
06

AI performance and scaling

Existing AI initiatives reviewed against the work they were meant to improve. Quality, adoption, running cost and business contribution measured, weak points corrected, and the solutions that work extended across teams or sites, each with a named owner and support after handover.

Illustrative workflow. The bars show direction, not measured client results.

How we build agents

From operational friction to measured value.

Six stages, followed here through one agent: supplier follow-up in purchasing.

What you gain

Supplier follow-up agent

Agent in your Microsoft 365 · reports to the buyer

Defined
  1. Value
  2. Role
  3. Access
  4. Limits
  5. Routine
  6. Measures
Example order PO 4471 · 500 units · needed 14 Nov

Built with your team. Owned by your operation.

About Opyflow

Opyflow is an operations and supply chain consultancy, founded in 2019, working with manufacturers in regulated and high-complexity industries. Offices in Kiryat Ono, Israel and Melbourne, Australia; projects across Israel, Europe, the US and India. The senior person you talk to is the one who does the work.

We are done when it's in the P&L.

Describe the situation to the senior person who would do the work. You don't need to prepare data for it, and if we are not the right firm, we will say so.