01
Data crosses systems by hand
Orders arrive as email, PDFs, and messages. Someone translates every format into product codes, checks the commercial rules, and keys the result into the ERP.
AI-native transformation for operations
Become AI-native, one workflow at a time.
Aeko starts with work your team still carries between systems. We put an agent inside the tools you already use, then keep the verified operating knowledge for whatever comes next.
Start with a live service workflow: Vision Agent turns field evidence into a dispatch decision.
Where operations still depend on memory
The data is in the systems. The workflow is still in people’s hands.
02
Exceptions bounce between inboxes
Price mismatches, supplier delays, and missing items travel without an owner until the customer or planner chases them.
03
Experience becomes infrastructure
The systems store the records, but one experienced person remembers the sequence, the exceptions, and who must approve what.
First published use case
Published use case
A service decision, prepared before anyone travels.
Vision Agent gives industrial service teams a usable view before dispatch. It identifies the machine from the ticket and images, checks the Product Brain, and assembles the likely cause, checks, and parts.
The service team decides whether to resolve remotely, prepare parts, send a technician, or involve an expert.
View the Vision Agent use case
What could follow
Start with the work your team still carries by hand.
Aeko does not begin with a catalogue of generic agents. It begins with a recurring job, clear inputs, an accountable decision, and a team that knows where the process breaks. These examples show the pattern.
Examples, not published products.
01
Inbound order entry
- Before
- Customers send orders in their own formats. Operations staff translate and re-enter each one.
- With an agent
- The agent prepares an ERP-ready draft with product matches and checks attached. People handle the ambiguous lines.
02
Replenishment preparation
- Before
- A planner rebuilds the buying picture from sales, stock, open orders, lead times, and supplier constraints.
- With an agent
- The agent assembles the proposal and sends only unusual quantities or constraints to the planner.
03
Order exception handling
- Before
- Pricing issues, credit holds, and backorders appear in different tools with no shared owner.
- With an agent
- The responsible person receives one decision packet: what happened, the supporting evidence, and the action required.
What compounds
The first workflow leaves two assets behind.
You keep the working Agent and the operating context that makes its decisions dependable. Product mappings, customer rules, approval limits, and corrected exceptions stop living only in prompts or individual memory. They become usable input for the next workflow.
- Approved source
- Business rule
- Agent action
Inspect the context
Teams can see the rules, mappings, owners, and previous decisions an Agent relies on, then correct them at the source.
Draw approval boundaries
Routine cases can move. Sensitive or unusual actions stop with the evidence and rule that triggered human review.
Start the next Agent ahead
A later workflow can reuse approved products, customers, suppliers, limits, and corrections instead of rebuilding company context.
Company Brain is operating context agents can use, not another wiki for people to maintain.
What AI-native means here. Put one recurring job into production with its controls intact. When the next Agent arrives, it inherits verified context instead of starting from an empty prompt.
The deployment method
From stuck workflow to deployment, in four steps.
Choose one process that is narrow enough to ship and important enough to measure.
01
Bring one workflow
Pick the recurring job that crosses systems and still makes someone chase, retype, or remember what happens next.
02
Trace the real path
Aeko maps the inputs, tools, handoffs, exceptions, and operating rules the system of record does not hold.
03
Separate routine from judgment
The Agent takes the repeatable path. Your team keeps commercial commitments, sensitive exceptions, and high-risk decisions.
04
Deploy, measure, hand over
The workflow runs inside your tools with its controls and sources attached. Your team uses it before handover.
No strategy engagement. No self-service software to configure. Aeko delivers an operating workflow inside your tools.
You own the source data, accumulated knowledge, Company Brain contributions, and deployed workflows.
For one well-bounded first workflow, the engagement is designed around roughly fourteen days. That is a format, not a universal guarantee.
Direct accountability
David Gahnassia, accountable for Aeko.
Aeko is the company, not a personal portfolio. David is accountable for scoping, deploying, and putting each first workflow into production.
Before Aeko, David was a Lead Software Architect at Wix and built automation and security systems at Kaholo and ReasonLabs. That experience now backs a focused offer: take a real job, deploy the Agent, and leave the operation stronger.
At Wix, David led work that reduced infrastructure cost by about 60% over one year in that specific setting. It is evidence from his Wix role, not a forecast for Aeko clients.
Qualification
Is this a good fit?
A strong first workflow repeats often, produces a recognizable output, and has an owner who can approve the exceptions.
Good candidate
- It runs every day or every week.
- Its inputs and output can be named.
- It crosses an ERP, spreadsheets, email, or WhatsApp.
- It depends on remembered rules and exceptions.
- People can keep approval over high-risk decisions.
Not ready yet
- The process changes completely every time.
- Source data is unavailable or cannot be checked.
- Nobody owns the operating outcome.
- The goal is to replace every system at once.
Questions before deploying an Agent
- Do we replace the ERP?
- No. The ERP remains the system of record. The deployed workflow handles the work happening around it.
- Does the Agent act without approval?
- Only inside agreed boundaries. Sensitive and unusual actions return to your team with the source and rule behind them.
- Who owns what gets built?
- Your company owns the source data, deployed workflow, accumulated knowledge, and every Company Brain contribution.
- Why say about fourteen days?
- It is an engagement format for one narrow, accessible first workflow. System, data, and approval complexity can change the schedule.
- What happens after the first workflow?
- Nothing is mandatory. If the team uses it, a later workflow can reuse the facts, limits, and corrections already approved.
08
Workflow review
Bring the workflow that keeps crossing systems.
In 30 minutes, we will identify the handoffs, exceptions, work an Agent could own, and approvals that must remain human. If it is not a good candidate, David will say so.
Book a 30-minute workflow reviewOne process. Then it runs.