Read
Understand
Reads the documents, messages and records that start the work.
Custom AI workflow agents
The work moves.
You stay
in control.
Ekyon provides AI workflow automation and custom AI agent development for business operations. Each agent understands what arrives, follows your rules, works across your software, and involves a human at exactly the right moment.
PROOF OF WORKCASE · AP—0248
Agent statusRun completed
Input / 09:12:03invoice_2381.pdfReceived from accounts@north.co
ContextVendor record foundTerms, account and prior approvals loaded
Rule appliedPO + amount matchWithin firm-defined tolerance
System action / 09:12:50Written to XeroPayment queued · full trail attached
HUMAN GATEApproved
“Amount and vendor verified.”
The difference
Not another dashboard
to watch. Work enters.
Work gets finished.
01One workflow
to start
02Every action
traceable
03Your systems
stay in place
Operating model · 01
Autonomy,
with the edges
drawn in.
The agent is given a clear job, the tools required to do it, and the boundaries it cannot cross. Confidence decides what runs and what waits for a person.
Reason
Decide
Uses your policies, context and examples—not a generic prompt.
Ask
Collaborate
Escalates ambiguity and sensitive decisions to the right person.
Act
Complete
Updates your systems, closes the loop and leaves evidence behind.
Two ways to build · 02
Same agent method.
Two buying paths.
Our AI agent development services follow two paths. Most teams begin with one existing operational workflow. When the agent itself is the product, we build the larger software experience around it.
PRIMARY / START HEREONE WORKFLOW
Automate an existing workflow
Our AI workflow automation service starts with one process your team repeats every week. We automate the judgment and data-entry loop inside the software you already use. Your team handles exceptions; the agent completes the work.
01
Documents & finance
- Invoices and accounting documents
- Document classification and extraction
- Policy review against company rules
02
Operations & systems
- CRM, ERP and warehouse updates
- Cross-system report preparation
- Browser-based administrative work
03
Requests & exceptions
- Support and exception triage
- Email, PDF and portal processing
- Procurement and logistics review
SECONDARYAGENT-NATIVE
02
Custom AI agent development
We design agent-native research platforms, operational copilots, vertical SaaS and customer-facing tools where the agent owns part of the experience—not a chatbot added later.
- Custom agent harness and tools
- Purpose-built product interface
- Memory, evaluations and safety
- Full software launch support
EXAMPLE WORKFLOWACCOUNTING OPERATIONSCASE · AP—0248
A document’s journey
From queue
to closed loop.
Not a magical black box. A visible chain of context, judgment, approval and action.
A queue of documents.
A day of tab-switching.
Someone opens a file, hunts for context, checks policy, makes a call, enters the result elsewhere, and starts again.
OPENSEARCHCHECKENTERREPEAT
- 01Pull the next document
- 02Read it with account context
- 03Apply firm-defined rules
- 04Explain the recommendation
- 05Request approval if needed
- 06Write back and log the trail
Intake checklist · 03
Bounded enough
to trust.
Painful enough
to matter.
A good first agent does not need a grand AI strategy. It needs a repeated job, observable judgment and a finish line.
WORKFLOW INTAKE8 SIGNALS
01
Repeatable volume
The same shape of work arrives every week.
02
Messy inputs
Documents, email, images or natural language.
03
Judgment involved
Context matters more than if-this-then-that.
04
System hopping
People copy information across two or more tools.
05
A known good result
Your team can describe what correct looks like.
06
Measurable upside
Time, cost, errors or turnaround can improve.
07
A human gate works
Sensitive or uncertain decisions can wait for a person.
08
Reachable systems
The software has an API or a workable browser interface.
If four or more look familiar, there is probably a useful pilot here.
Delivery standard · 04
A system you can run.
Not a chat window.
The harness is our technical advantage. The thing you buy is a controlled workflow, integrated into operations and tested on real examples.
Workflow discovery
The real process, exceptions and definition of done.
Agent architecture
A controlled understand → act → record loop.
System integrations
API or browser access to the tools your team uses.
Company rules
Your policies, examples and operating context.
Approval controls
Thresholds for automatic work and human escalation.
Decision evidence
Applied rule, sources, confidence and exception notes.
Real-example evaluation
Tests against representative work before rollout.
Deployment & handover
Production setup, documentation and source ownership.
ASSISTEDEvery action reviewed
Evidence and confidence grow over time
CONTROLLED AUTONOMYLow risk runs; exceptions escalate
Ways to work together · 05
Start narrow.
Earn the expansion.
We prove the workflow on real examples before autonomy grows. No department-wide transformation theatre.
ScopeInvestmentIncludedAction
01Recommended start
Workflow pilot
Prove one painful loop on real work before expanding.
$8k–$15k3–5 weeks
- Workflow discovery
- One core integration
- Your rules encoded
- Human review gate
- Evidence + activity log
02
Operational agent
A production workflow across deeper systems and exceptions.
$15k–$40k+5–10 weeks
- Multiple integrations
- Exception routing
- Confidence controls
- Monitoring + evaluations
- Deploy + handover
03
Agent-native product
When the agent is the product—not a feature bolted on.
$25k–$75k+8+ weeks
- Custom agent harness
- Purpose-built tools
- Product interface
- Safety + evaluations
- Launch support
04After launch
Managed improvement
Optional monthly support for monitoring, evaluations, policy changes and workflow expansion after the first agent is live.
Discuss ongoing supportFine print · 06
Before we put
an agent
to work.
Useful answers, in plain English.01What is AI workflow automation?+
AI workflow automation uses software agents to interpret business information, apply company rules, work across existing tools and complete operational tasks with a record of what happened.
02What do AI agent development services include?+
Ekyon covers workflow discovery, custom agent architecture, system integrations, company rules, approval controls, evaluations, deployment, documentation and source-code handover.
03How is this different from Zapier or a chatbot?+
Scripts are ideal for fixed steps. Agents fit work with unstructured inputs, contextual judgment and exceptions. If a normal automation is enough, we will say so.
04Does a human approve every action?+
Usually at the beginning. As evidence grows, low-risk steps can run automatically while sensitive or uncertain cases still escalate.
05What makes a good first project?+
A narrow workflow your team repeats weekly, with clear examples, reachable systems and an outcome we can measure.
06Do we own the code?+
Yes. You own the source. Optional support covers monitoring, evaluations and expansion after launch.
07How much does the first workflow cost and how long does it take?+
A focused Workflow Agent Pilot is typically $8,000–$15,000 and takes 3–5 weeks. Production scope depends on integrations, rules and exception handling.
08What software can an agent work with?+
We prefer secure APIs when they exist, but agents can also work through controlled browser interfaces. Feasibility depends on authentication, access and the reliability of the target system.
09Do you only build accounting agents?+
No. Accounting is a concrete proof of the method. The same architecture applies to logistics, procurement, support operations, professional services and other document-heavy workflows.
10Why hire an AI automation agency instead of buying another tool?+
A product gives you a general interface. A specialist AI automation agency maps your actual process, connects the software you already use, encodes your rules and makes the finished workflow accountable to your team.
30 MINUTE REVIEWNO. 01 / YOUR WORKFLOW
Your next useful step
Bring the work
that should feel lighter.
We’ll map the loop, pressure-test whether AI belongs in it, and outline the smallest useful first build.