ekyonDiscuss your workflow

AI integration & agent development services

AI workflow automation
across your
existing software.

Turn documents, email and requests into reviewable records and actions in your business software. Ekyon builds one defined workflow, with integrations, review controls and handover agreed around the job your team needs to finish.

ILLUSTRATIVE WORKFLOWDOCUMENT REVIEW
Example recordReady to review
Inputsample-invoice.pdfDocument received through the agreed intake route
ExtractSupplier and amountStructured fields alongside the original document
Apply a ruleAssign a categoryMatch against an agreed supplier rule
Next stepPrepare an exportUse the reviewed record for an accounting handoff
USER CONTROLReview & correct

Check the source and edit the extracted fields.

Illustrative record, not a measured customer result. See the document automation case study for actual project scope.
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. Permissions, agreed review rules and evaluation results determine what can run and what needs a person.

01

Read

Understand

Reads the documents, messages and records that start the work.

02

Reason

Decide

Uses your policies, context and examples, not a generic prompt.

03

Ask

Collaborate

Escalates ambiguity and sensitive decisions to the right person.

04

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 define which steps can be automated inside the software you use, how results are checked and when your team takes over.

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
Show us the workflow
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
See the dMaya case study

Project evidence

AI software
we have built.

Two different scopes, with concrete work you can inspect before discussing your own project.

Our own AI product

dMaya

An AI design product with a custom agent harness, project context and tools that produce editable interface work for design and code handoff.

See the dMaya project
EXAMPLE WORKFLOWACCOUNTING OPERATIONSILLUSTRATIVE FLOW

A document’s journey

From queue
to closed loop.

An example of how a scoped document workflow can move from intake to a reviewed accounting handoff.

BEFOREINCOMING / UNSORTED

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
WITH EKYONRESOLVED / TRACEABLE
  1. 01Pull the next document
  2. 02Read it with account context
  3. 03Apply firm-defined rules
  4. 04Explain the recommendation
  5. 05Let the user review and correct
  6. 06Prepare the agreed export

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.

A useful pilot needs accessible systems, representative examples and an outcome your team can evaluate.

Delivery standard · 04

A system you can run.
Not a chat window.

You receive a working workflow with the agreed integrations, review controls, evaluation checks, documentation and handover.

01

Workflow discovery

The real process, exceptions and definition of done.

02

Workflow design

A defined process, permitted actions and exception paths.

03

System integrations

API or browser access to the tools your team uses.

04

Company rules

Your policies, examples and operating context.

05

Approval controls

Thresholds for automatic work and human escalation.

06

Review evidence

Source information, applied rules and exception notes.

07

Real-example evaluation

Tests against representative work before rollout.

08

Deployment & handover

Agreed hosting, documentation, source ownership and access.

ASSISTEDEvery action reviewed
Review controls + evaluation + permissions
CONTROLLED AUTONOMYPermitted steps run; exceptions escalate

Ways to work together · 05

Start narrow.
Earn the expansion.

Begin with representative work and an agreed outcome. Expand the scope only after the first workflow has been evaluated.

Planning ranges in USD, subject to agreed scope, access and available examples. Hosting, model usage, third-party subscriptions and optional ongoing support are budgeted separately. See the AI agent development cost guide

ScopeInvestmentIncludedAction
02

Operational agent

A production workflow across deeper systems and exceptions.

$15k–$40k+5–10 weeks
  • Multiple integrations
  • Exception routing
  • Permissions + review controls
  • Monitoring + evaluations
  • Deployment + handover
Discuss the scope
03

Custom AI product

A product interface and agent tools, with the wider software around them.

$25k–$75k+8+ weeks
  • Custom agent harness
  • Product interface
  • Permissions + evaluations
  • Launch support
Discuss the scope
04After launch

Managed improvement

Optional monthly support for monitoring, evaluations, policy changes and workflow expansion after the first agent is live.

Discuss ongoing support

Fine print · 06

Before we put
an agent
to work.

Useful answers, in plain English.
01What is AI workflow automation?

AI workflow automation combines models, business rules and integrations to turn documents, messages or records into defined outputs and actions. Review requirements, permissions and the record of what happened are part of the agreed workflow.

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?

Review requirements are agreed for each action. A workflow may prepare records for review, request approval before a write, or automate permitted low-risk steps. Sensitive or uncertain cases need defined escalation rules.

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?

Code ownership, account access and the materials you receive are agreed before the build. Optional support can cover monitoring, evaluations and further development.

07How much does the first workflow cost and how long does it take?

Ekyon currently budgets a focused workflow pilot at $8,000–$15,000 USD and 3–5 weeks. These are scope-dependent planning ranges, assuming required access, examples and decisions are available. Hosting, model usage, third-party subscriptions and ongoing support need a separate budget.

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?

Document workflows are one example. We also scope AI features and custom products around your process, available systems and review requirements. Relevant project evidence helps establish what has actually been built.

10When is custom AI development a good fit?

Investigate custom work when existing products leave a specific gap in integrations, review controls, business rules or the product experience. Evaluate an existing option first when it can meet the requirements. A custom build can also use existing services where they fit.

11What do you need to scope a workflow?

Bring the process you want to improve, approximate workload, the software involved and a few permitted representative examples. Identify actions that must require approval and the outcome you want from a pilot. Share sensitive samples only through an agreed secure process.

WORKFLOW SCOPINGNO. 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.