Custom AI agents and applications designed around your business workflows.
We build AI agents, web and mobile applications, and system integrations that help your team handle repetitive tasks, work with business data and manage everyday operations. From development to deployment and ongoing maintenance, we build around your actual business needs.
Pick a scenario to see how data enters the workflow, what the agent does, and where people make the call.
01
Marketing Reporting & Analysis
02
Customer Inquiries & Follow-Up
03
Product Content & Collaboration
WORKFLOW
From scattered data to a review-ready monthly report
01 / CONNECT
Confirm data sources and scope first
Pull this period's data from authorized ad platforms and your CRM, prepared to the agreed reporting standards
Ad Platform Data
Agreed accounts, reporting period and metric fields
Customer & Sales Data
Read authorized customer records from your CRM
Brand & Reporting Standards
Use your company's knowledge base and report templates
↳ In this example, external systems are read-only and reports are stored in the app back office
02 / REASON
Turn the data into a reviewable draft
The back office calculates metrics under agreed rules; the agent organizes changes, anomalies and items that need verification
Report Summary Draft
Summarize key metrics and period-over-period changes
Items to Verify
Flag missing fields, outliers and data-standards questions
Follow-Up Recommendations
Build grounded next-step recommendations for a person to decide on
↳ Analyses and recommendations are illustrative and do not represent actual customer performance
03 / REVIEW
Leave the key decisions to the accountable owner
The reviewer checks the data and revises content in the workbench, then confirms which analyses can be delivered
Numbers & Sources
Check metrics, date range and data sources
Content & Brand
Confirm wording, conclusions and client context
Delivery Access
Content is shown to the client only after approval
↳ Sending externally or changing budgets requires separate confirmation of permissions and scope
04 / DELIVER
Reports and action items return to the same workbench
Approved reports are saved to the portal; clients and staff view them by role and record ownership
Client Report
Review approved deliverables in the agreed portal
Action List
The team creates follow-up tasks and tracks their status
Version History
Keep reports and handling records for easy tracking
↳ The interface and the agent share one back office, so work never scatters across separate tools
05 / IMPROVE
Plan the next round of improvement from real task records
Review issues against your monthly service hours, adjust the workflow, and regression-test the changes
Operations & Issue Summary
See failure causes and how they were handled manually
Change & Test Log
Confirm the adjustments and checks completed this month
Next-Step Recommendations
Prioritize next steps by value and effort
↳ Optimization is limited by the agreed hours and scope; new modules are assessed separately
01
Retrieve data
02
Generate analysis
03
Human review
04
Deliver results
05
Continuous improvement
Observable Metrics
Preparation and review time / data consistency / reasons for rework
Illustrative workflow, not a delivered client case. Actual features, channels, write permissions and system scope are confirmed during assessment.
WORKFLOW
Give every inquiry a clear next step
05 / REFINE
Improve the next output based on why it changed
Review approval and revision logs, and address recurring content errors or process blockers first
Revision Reasons
Organize common factual or tone issues
Knowledge Updates
Add confirmed product and brand information
Process Improvements
Adjust templates and interfaces within the agreed hours
↳ Improvements follow actual records; content is never updated without a check by your team
02 / ORGANISE
Give sales the full picture up front
The agent organizes the request and existing customer information, flags missing data and drafts follow-up recommendations
Request Summary
Capture the product, service or partnership intent
Missing Information
Flag the budget, timeline or requirements that still need to be asked
Follow-Up Draft
Prepared in your brand voice from confirmed information
↳ When information is missing, the agent raises questions instead of inventing customer facts
03 / CONFIRM
Sales confirms the content and next step
Sales reviews and edits the draft in the web or mobile app, then confirms which actions to take
Request Check
Correct what the agent could not confirm
Outbound Content
A person approves the message and commitments
Execution Method
Sent by a person within scope, or through pre-approved actions
↳ Sending externally or changing budgets requires separate confirmation of permissions and scope
04 / RECORD
Return follow-up results to your business system
Save follow-up records and status in your CRM or back office within the confirmed connection scope
Customer Record
Update authorized fields
Follow-Up Tasks
Keep the owner and next step on record
Activity Log
Keep handling time and execution results
↳ The interface and the agent share one back office, so work never scatters across separate tools
05 / IMPROVE
Spot the issues that keep recurring in follow-up
Spot-check real tasks and improve missing data, content quality and integration issues first
Data Completeness
Which fields people most often have to fill in
Follow-Up Status
Check records that are overdue or missing a next step
Improvement List
Adjust classification rules, prompts or small interface features
↳ We measure process improvements; we do not guarantee opportunity conversion or revenue growth rates
01
Receive inquiry
02
Qualify opportunity
03
Sales confirmation
04
Record the result
05
Review & improve
Observable Metrics
First response time / data completeness / overdue follow-up rate
Illustrative workflow, not a delivered client case. Actual features, channels, write permissions and system scope are confirmed during assessment.
WORKFLOW
Turn product data into content your team can build together
01 / PREPARE
Establish the data foundation for content first
Organize authorized product data, brand guidelines and assets, and confirm how the content will be used
Product Information
Specs, selling points and confirmed service details
Brand Guidelines
Tone of voice, terminology and prohibited claims
Content Brief
Agreed channels, language and output format
↳ Professional copywriting, bulk cleanup and multilingual scope are confirmed separately
02 / CREATE
Draft content under shared standards
The agent drafts copy or campaign page content from agreed templates and saves it to the editing back office
Content Draft
Product descriptions, campaign copy or page text
Data Cross-Check
Keep product and campaign details that need verification
Items to Confirm
Flag sections that lack support or need a person's judgment
↳ Campaign page features and publishing-system connections must be included in the development scope
03 / APPROVE
Let editors and owners collaborate in one interface
The team edits content directly, checks facts, brand voice and campaign rules, then confirms the version
Product Facts
Check pricing, specs and promotional terms
Brand Expression
Adjust tone, terminology and content structure
Version Approval
Approved through the agreed single-level review process
↳ Complex multi-level approvals or additional roles require a separate assessment
04 / PUBLISH
Move the approved version to the agreed destination
Export content within the project scope, or publish to designated systems through authorized connections
Approved Version
Keep the final content and approval status
Output Destination
Export files or use the agreed publishing interface
Result Log
Show execution results and retain error details
↳ Publishing automation outside scope is never run by the agent on its own
05 / IMPROVE
Spot the issues that keep recurring in follow-up
Spot-check real tasks and improve missing data, content quality and integration issues first
Data Completeness
Which fields people most often have to fill in
Follow-Up Status
Check records that are overdue or missing a next step
Improvement List
Adjust classification rules, prompts or small interface features
↳ We measure process improvements; we do not guarantee opportunity conversion or revenue growth rates
01
Prepare assets
02
Generate draft
03
Editorial approval
04
Publish
05
Content Retrospective
Observable Metrics
Production and revision time / approval rate / data errors
Illustrative workflow, not a delivered client case. Actual features, channels, write permissions and system scope are confirmed during assessment.
02 / BUILT AS ONE SYSTEM
Everything Your AI Workflows Need to Work Together
We bring AI agents, custom applications and business systems together in one connected solution. Existing tools and components are reused wherever practical, with custom development for what is missing.
01 / REASON
Custom AI Agent Development
Turn business rules into executable workflows
Combine company knowledge, task steps and available tools, with clear triggers, inputs and outputs, and human checkpoints.
Knowledge retrieval
Workflow orchestration
Tool invocation
Permissions & failure handling
02 / USE
App & Web Applications
Bring AI into everyday work
Build staff workbenches, client portals and mobile apps so people can track progress, edit results, approve work and handle exceptions.
Interface & Experience Design
Shared business back office
Role-based permissions
iOS / Android
03 / CONNECT
Cloud & System Integration
Make the most of the systems you already own
Verify the interfaces and permissions of your CRM, ERP, e-commerce and cloud services, and establish shared data and operational capabilities for the app and the agent.
API connections
Data mapping
One-way or two-way sync
Topkee Cloud
04 / IMPROVE
Ongoing Maintenance & Optimization
Improve continuously from real usage records
Monitor how the app, integrations and agent perform, then fix, test and release by priority, with a reviewable service log.
Task quality spot checks
Integration adapters
Usage analysis
Monthly improvement list
↳ The back office, interfaces and integration for both the app and the agent are built and billed once.
03 / ENGINEERED FOR REAL WORK
Built, Tested and Ready for Your Team
We set clear expectations before development begins and test each workflow before it goes live. You know what is being built, what it can do and how your team will manage it.
Agree on samples, scoring rules and pass thresholds up front, then verify data standards, output quality and tool parameters.
Basis for delivery / acceptance samples and test records
02
Clear Permissions and Controls
Define exactly which data the agent can read and which actions it can take. External messages, budget or order changes follow agreed approvals or pre-authorization.
Basis for delivery / permission list and activity log
03
Reliable Error Handling
Design how missing data, integration errors and uncertain results are handled, so retries, alerts and human handoffs follow a clear path.
Basis for delivery / exception tests and handling guide
04
A Handover Your Team Can Use
Deliver the custom code, agent configuration, integrations and deployment guide within scope, and complete training; usage rights and third-party licenses are spelled out in the contract.
Basis for delivery / code configuration and operating documentation
04 / FROM FIRST FLOW TO DAILY USE
Start Small. Build on What Works.
Begin with one business workflow, test it in practice and expand when your team is ready. Every stage has a defined scope and deliverables.
01
Discovery & Planning
Map the work, data and existing systems, and define users and acceptance criteria.
Feature and integration list · fixed price
02
Build & Pilot
Build the agent, app and integrations, then validate the workflow with real-world data.
Usable version · sample outputs
03
Review & Launch
Verify features, data, permissions and exception handling, then complete training and handover.
Test records · deployment and operating guide
04
Maintain & Improve
Schedule fixes and enhancements from usage records, delivered within the agreed hours.
Monthly service log · improvement recommendations
05 / CLEAR SCOPE. CLEAR INVESTMENT.
Find the Right Fit for Your Business
Whether you need one AI-powered workflow or a custom application connected to your existing systems, start with a clearly defined project scope and quote.
Existing entry point · single scenario
Scenario Kickoff
$
14,700
Validate a working agent workflow at your existing entry point
Every plan includes an USD 2,700 scenario and system assessment fee. Start with the assessment on its own; it is credited to the total when you proceed, and reusable work is deducted based on actual scope.
Monthly service is purchased separately and covers troubleshooting, communication, changes, testing and releases. Models, cloud resources, platform subscriptions, store accounts and applicable taxes are billed separately.
AI agents can help retrieve information, process business data, prepare reports, organise customer enquiries and support repetitive tasks. The exact capabilities depend on your workflow, connected tools and approval settings.
Can an AI Agent Work with Our Existing Business Software?
Yes. We can assess your CRM, ERP, website, e-commerce platform and other business tools to determine what can be connected through APIs or existing integrations.
Can We Build an AI Agent First and Add an App Later?
Absolutely. You can start with an AI workflow using your existing tools, then add a custom web workspace or mobile app when your team needs it.
Do You Provide Ongoing AI Agent Maintenance?
Yes. Optional maintenance services can cover troubleshooting, integration updates, testing and workflow improvements based on agreed service hours.
How Do We Know If AI Automation Is Worth the Investment?
We define practical measures before development, such as time spent on repetitive tasks, processing time, review effort and task completion. A pilot can help establish a baseline before expanding the project.
LET'S BUILD YOUR FIRST WORKFLOW
Let's Talk About What AI Can Do for Your Business
Tell us how you do it today and what outcome you want.