We close operational decision cycles draining time, margin, and money.
Agentfy works where the routine jams: scattered signals, ownerless decisions, slow approvals, and actions that depend on memory. We map the critical cycle and put the first workflow into operation with AI, automation, data, and human approval.
For B2B, industrial, and operational companies still running critical work through email, spreadsheets, WhatsApp, underused ERPs, and the memory of key people.
Applied AI for companies where response time, margin, productivity, and operational control matter.
AI projects fail when they start with the tool.
Most AI projects die at the starting line because they begin with the model, agent, or dashboard before understanding the real operational process.
Agentfy starts with the decision cycle: the path between detecting a signal, interpreting what it means, deciding the next step, acting on time, and learning from the outcome.
“The problem is not lack of AI. It is decisions staying open for too long.”
Testing AI became easy. Making AI work inside operations is still hard.
Tools create polished demos. Pilots create excitement. Daily operations demand something else: reliable data, clear ownership, defined approval, workflow integration, and measurable impact.
Without that, AI becomes another layer of work. The model may be good, but the operational cycle stays open.
Before choosing the tool, you need to understand which decision must be closed.
Find where AI can create real valueThe problem is rarely lack of dashboard. It is an open decision.
A dashboard shows what happened. A closed cycle makes the next action happen.
A lead comes in, but follow-up depends on memory. A quote is requested, but waits for missing information. Purchasing appears late. Real margin becomes clear after the loss.
The data exists. The systems record it. People know something should be done. What is missing is the path between signal, decision, and action.
Identify open decisionsOpen Decisions
Action required
undefined owner
incomplete information
approval stuck
opportunity cooling down
margin seen too late
customer waiting
Every company is a network of decision cycles.
Sense
Does the company detect what is happening?
Interpret
Is raw data turned into a decision-ready read?
Decide
Is there a clear rule for the next step?
Act
Does the action happen on time?
Learn
Does the result feed back into the process?
Operational decision cycle
The path between detecting a signal and taking the right action at the right time, with criteria, ownership, and learning.
Closed loop
Automation creates value only when the result feeds the next decision and becomes part of the real routine.
priority = impact × frequency × latency × effortWe choose the first cycle by operational value, not hype.
We find the most valuable cycle, identify the break, and close the flow.
When one stage breaks, the cost appears as delay, rework, margin loss, manual effort, customer friction, or missed opportunity.
Where operations lose rhythm before anyone notices.
Sales
01- The signal
- A reply arrives, but no one knows whether it became priority.
- Where it breaks
- The next touch depends on a salesperson’s memory.
- The price
- Lost timing, cloudy pipeline, and weak predictability.
- How to close it
- Read the signal, suggest the next action, and push ownership until the outcome is logged.
Operations
02- The signal
- A deadline moves, a delivery slips, or a deviation appears.
- Where it breaks
- Information circulates late and without decision context.
- The price
- Rework, artificial urgency, and customers pressuring first.
- How to close it
- Classify impact, notify the owner, track action, and save the cause.
Purchasing
03- The signal
- Consumption, stock, or demand already points to a future need.
- Where it breaks
- Buying enters the agenda only when operations feel pain.
- The price
- Urgency, shortages, bad supplier choices, and compressed margin.
- How to close it
- Anticipate risk, prepare a recommendation, and request approval on time.
Production
04- The signal
- Priority, resource, or material changes mid-flow.
- Where it breaks
- Planning, production, and sales realign manually.
- The price
- Queues, rescheduling, delays, and poor capacity use.
- How to close it
- Recalculate priority, notify stakeholders, and register the new plan.
Administration
05- The signal
- A document, internal request, or pending item arrives unstructured.
- Where it breaks
- Triage depends on manual reading and ownerless approval.
- The price
- Invisible delay, rework, and loss of control.
- How to close it
- Classify, extract data, route, and track deadline until closed.
Finance
06- The signal
- Collection, margin, or commercial terms need a decision.
- Where it breaks
- Analysis arrives after negotiation or operations have moved.
- The price
- Financial risk, late margin visibility, and reactive calls.
- How to close it
- Detect variation, compare history, and escalate exceptions for approval.
Customer service
07- The signal
- A customer asks, complains, or shows dissatisfaction somewhere.
- Where it breaks
- The message scatters across WhatsApp, email, and systems.
- The price
- The customer discovers the failure before the company does.
- How to close it
- Classify urgency, notify the owner, and log the response with evidence.
Quality
08- The signal
- A deviation, nonconformity, or failure evidence is recorded.
- Where it breaks
- The record exists, but corrective action does not move.
- The price
- Recurrence, weak traceability, and operational risk.
- How to close it
- Assign owner, request evidence, and feed recurring learning.
Before automating, we find where the flow loses value.
Agentfy’s diagnosis combines operational thinking, process design, and applied AI.
We use principles from Lean, Theory of Constraints, Value Stream Mapping, SIPOC, PDCA, quality management, and process traceability.
- where the process starts and ends
- which signals should trigger a decision
- who interprets the information today
- which systems hold the data
- where the decision slows down
- what can be automated
- what must remain under human approval
What is the smallest cycle we can close now that creates real impact?
Request diagnosisMap, prioritize, close, and learn.
We understand how work actually happens — not only how it is described in org charts, procedures, or the ERP.
We identify where the company detects too late, interprets poorly, decides slowly, acts off-time, or fails to learn from outcomes.
We implement a valuable slice, measure initial impact, and create a foundation for expanding new cycles safely.
Agents handle repetitive work. People keep judgment.
Agentfy designs agents and automations to monitor signals, organize data, classify information, suggest next steps, trigger workflows, and record learnings.
Agents can
- read and classify emails
- extract data from documents
- identify customers without follow-up
- detect process deviations
- prepare tasks, replies, or alerts
- update CRM, ERP, spreadsheets, or databases
- log decisions and evidence
Humans approve
- commercial terms
- technical or operational exceptions
- risk decisions
- priority changes
- critical communications
- actions with meaningful financial, legal, or operational impact
The goal is not to remove humans from the operation. It is to remove humans from the invisible work that slows the operation down.
Agents synthesize. Humans decide. One cockpit.
Instead of chasing status across meetings and message threads, the Action Board shows the synthesized situation and a recommendation. The manager approves, adjusts or overrides — and executes from one place. Status questions get answered by continuous synthesis, not by asking around.
Supplier quotes received for a recurring item. Current best option combines total cost, viable lead time, and policy-aligned terms.
Recommends — Send purchasing recommendation for approval
Order at risk because a critical stage is late. Alternative capacity exists in the next shift.
Recommends — Reprioritize resource and log the new plan
Deviation registered against internal procedure. Evidence is pending before corrective action can close.
Recommends — Request evidence and owner approval
Technical quote has no follow-up by the agreed deadline. Customer urgency is visible and margin data needs validation.
Recommends — Prepare next commercial action for approval
Real cases in real operations.
Agentfy applies its methodology to commercial cycles, administrative workflows, recurring decisions, system integrations, and human-approved automations. We do not publish results that have not been measured.
Technical quotes stuck between sales and engineering
Context
B2B operation with technical demand, multiple input sources, and required alignment between sales, engineering, and operations.
Solution implemented or blueprint
Request classification, data extraction, automatic missing-information checklist, engineering summary, suggested commercial next action, and status logging.
Tracked indicators
Time to first response, complete requests at intake, engineering return SLA, and quote-to-order conversion.
Recurring customers not reordering
Context
B2B commercial operation with an active customer base and recurring purchasing behavior.
Solution implemented or blueprint
Recurrence monitoring, automatic alert, suggested message, owner task, and reason logging.
Tracked indicators
Days since last purchase, expected versus actual reorder, recovered opportunities, and recorded loss reason.
Late purchasing decisions
Context
Operation with recurring consumption, deadline pressure, and dependency on timely purchasing decisions.
Solution implemented or blueprint
Consumption/history reading, risk alert, impact estimate, purchasing task, and owner approval.
Tracked indicators
Urgent purchases per month, alert lead time in days, stockout avoided or recorded, and lead-time variation.
Nonconformity or operational deviation
Context
Operation requiring traceability, evidence, and fast response to deviations.
Solution implemented or blueprint
Automatic classification, owner trail, evidence request, deadline alerts, and recurring cause logging.
Tracked indicators
Time until owner assignment, evidence attached on time, recurrence by cause, and days until corrective action closure.
Cycles that often cost money in B2B operations.
Custom manufacturing
Quote request → technical interpretation → historical reference → preliminary costing → commercial approval → follow-up → margin learning.
B2B distributors
Expected recurring order → customer has not purchased → commercial alert → suggested outreach → reason logged → next action triggered.
Technical services and field service
Ticket received → urgency classification → SLA check → technician allocation → customer communication → root cause recorded.
Logistics and operations
Deviation detected → impact calculated → owner notified → customer informed → corrective action registered → pattern updated.
Food and beverage
Request or quality deviation → traceability → batch analysis → responsible approval → internal communication → recurrence learning.
Construction and field operations
Field issue → image or message captured → classification → owner assigned → deadline tracked → evidence archived.
An executive diagnosis to find where your operation loses money through slow, manual, or disconnected decisions.
In a few days, we map one critical workflow in your company and deliver a clear view of broken decision cycles, operational impact, and the best AI implementation opportunity.
- know they have rework, delays, or missed opportunities
- want an objective view before implementation
- need to align leadership, operations, and technology
After the diagnosis, we close the first valuable cycle in up to 30 days.
We do not promise to transform the entire company in one month.
We promise to put one real cycle into operation: data coming in, AI interpreting, workflow running, humans approving, and outcomes being recorded.
Expected outcome
A smaller, functional, measurable operational cycle — ready to be used, adjusted, and expanded.
Week 1
Diagnose & Scope
Week 2
Design & Integrate
Week 3
Build & Test
Week 4
Deploy & Learn
The right technology for the right cycle.
Agentfy is not tied to a specific tool. We use AI, automation, integrations, and data according to what the real workflow requires.
Sometimes the best path is an LLM-powered agent. Sometimes it is a simple automation. Sometimes it is cleaning the process before writing a single line of code.
Data Sources
email, ERP, CRM, spreadsheets, documents
AI & Interpretation
LLMs, RAG, classification, extraction
Workflow Automation
n8n, Make, APIs, webhooks
Human Approval
approvals, exceptions, commercial terms
Operational Learning
logs, KPIs, continuous improvement
Built by people who have lived complex operations from the inside.
Agentfy was created by people who know real operations.
Industry. Production. Engineering. Planning. B2B sales. Finance. ISO 9001. Traceability. Technology startups. Digital products. Automation. Applied AI. Team leadership.
Implementing AI in a real company is not just connecting tools. It is understanding flow, bottlenecks, decision criteria, responsibility, exceptions, approval, risk, metrics, margin, and operational routine.
Talk to AgentfyWhat Agentfy does not do.
Tool first
Decision first
Generic chatbot
Specific operational cycle
Static dashboard
Triggered action
Automation without ownership
Workflow with governance
AI as internal marketing
AI applied to cost, time, and margin
Agentfy works where there is real operation, recurring decisions, delay cost, and a clear opportunity for improvement.
Three ways to work together.
Loop Audit
Recommended entryTo find the best starting point before building.
- Workflow diagnosis
- Broken cycle identification
- Prioritization matrix
- Implementation blueprint
30-Day Implementation Sprint
To put the first cycle into operation with controlled scope.
- Workflow design
- Automations and agents
- Integrations
- Human approval
- Initial measurement
Operational AI Partner
To continuously evolve the operation after the first cycle.
- New cycles
- Agent refinement
- System integration
- KPI monitoring
Most engagements start with the Loop Audit so the first cycle is chosen with clarity.
Straight answers.
Find the cycle slowing down your operation.
The first conversation is used to understand whether there is a clear, valuable, and feasible cycle to attack with process, data, automation, AI, and human approval.