Zapier. Microsoft Copilot. Dify. Connected around your business.
Less copying. Less chasing. More time for useful work. ETS connects your business applications and approved data so information reaches the right people and routine work moves forward with fewer manual steps.
Bring the tools you already use closer together
Email, spreadsheets, sales records, finance, and project tools should support the same process. These familiar services have listings in Zapier’s app directory. Select an icon to explore its supported connections.
Gmail- Microsoft Teams
- Slack
- Google Sheets
- HubSpot
- QuickBooks Online
- Microsoft Outlook
- Salesforce
- Google Drive
- Shopify
- Microsoft Excel
- Stripe
- Asana
- Mailchimp
- Notion
- Trello
A few examples of what can connect. Supported actions, subscriptions, permissions, and usage limits vary by app. Logos identify their respective services and do not imply endorsement or partnership.
Make the work between applications easier
Your team should not have to act as the connection between every system. Thoughtful integration reduces repetitive handoffs while keeping the right information available where it is needed.
Enter information fewer times
Move approved details from a form or customer record into the next system. Reduce retyping and the opportunities for missed fields, inconsistent records, and duplicate entries.
Keep the next step moving
Assign follow-up work, notify the right colleague, or request an approval when something changes. Spend less time forwarding messages and asking who owns the task.
Give people better context
Bring relevant customer, project, and business information into a useful view. Help staff prepare for conversations and decisions without searching across unrelated applications.
The right tool for the work
ETS uses Zapier, Microsoft Copilot, and Dify for integration and AI-assisted work. We choose the approach around your process—not assume every workflow needs all three.
Zapier: connect routine steps
Use events in one app to start approved actions in another: capture an inquiry, update a record, create a task, and notify the team. Filters and review steps help keep routine work on the right path.
Microsoft Copilot: help where people work
Microsoft 365 Copilot can help with summaries, drafts, and finding relevant work information in supported Microsoft experiences. Copilot Studio is a distinct tool for building agents and connected actions; its licensing and setup need a separate review.
Dify: build tailored AI workflows
Combine AI models, approved reference information, and connected tools in a visual workflow. Dify can support internal assistants and multi-step processes designed around your business, with hosting, access, and model choices considered during planning.
Existing Power Automate flows, supported application connections, and custom development may also be part of the solution. Product editions, connectors, AI usage, third-party subscriptions, and ongoing support can carry separate costs.
Agentic workflows: help that can move work forward
An agentic workflow uses AI to interpret a request, find relevant information, and choose among approved next steps. It can do more than draft an answer—but only within the tools and permissions you give it.
A fixed automation follows a defined rule, such as creating a task when a form arrives. An AI-assisted workflow can also interpret the message, identify missing details, and prepare the next action. We combine predictable rules with AI where understanding language or context adds value.
Prepare sales follow-up
Summarize a new inquiry, check an approved customer record, and prepare a follow-up task and draft response. A team member reviews the message before it is sent.
Help route service requests
Identify what a request is about, retrieve relevant guidance, and suggest the right team or response. Unclear or sensitive cases go to a person with the context attached.
Turn documents into next steps
Read an approved document, pull out relevant details, and prepare a record or checklist for review. Staff confirm important fields before business systems are updated.
These are illustrative workflows we can assess—not prebuilt promises or measured customer results. Each needs suitable app capabilities, access controls, and testing with your real process.
Useful autonomy. Clear human control.
Start with limited permissions, approved information sources, and a named workflow owner. Require human approval before consequential actions such as payments, permission changes, or sensitive communications. Keep a record of actions and a way to pause the workflow.
AI can misunderstand instructions or produce incorrect information. Outside messages and documents must not be allowed to override your workflow’s rules. Test failures and unusual cases, not just the ideal run.
Measure the time returned to your team
Productivity gains should show up in everyday work: less handling time, faster handoffs, fewer corrections, and more capacity for customers. We start with a baseline and compare it with a controlled pilot.
Time and turnaround
Measure the minutes people spend on each request and the time it waits between teams. Include review and exception handling—not just the automated steps.
Accuracy and completion
Track incomplete records, duplicates, corrections, failed runs, and work that needs intervention. A faster process is useful only if the results remain dependable.
Cost and adoption
Compare time freed with implementation, subscriptions, AI usage, maintenance, and training. Check whether employees actually use the workflow and whether it improves their work.
What a small improvement can add up to
Illustration only: 60 requests a week, reduced from 8 minutes to 3 minutes of handling each—including human review—would free 5 hours a week before monitoring and maintenance.
This is an example calculation, not an ETS result or a savings guarantee. Time returned creates capacity; it does not automatically reduce payroll or increase revenue.
Start focused. Deploy carefully. Improve with evidence.
We help turn a promising idea into a supportable workflow, with clear ownership and a practical way to handle change.
1. Map one useful workflow
Identify the repeated handoff, the people involved, and the information that needs to move. Agree which system owns each record and how success will be measured.
2. Pilot with boundaries
Check permissions, data handling, app capabilities, and costs. Test normal requests, missing information, duplicates, and service outages. Keep approval and fallback steps visible.
3. Launch and keep improving
Train the team, monitor results, and assign someone to handle exceptions. Review changes to connected apps and expand only when the first workflow is reliable and useful.
Connecting applications does not mean copying all business data into every tool or AI model. We review which information may move, who may access it, and the relevant privacy, retention, and contractual requirements. Sensitive or regulated data needs a specific assessment before connection.
Before you connect everything
A useful integration starts with the right scope and realistic expectations.
Can you connect every application and all of our data?
Not necessarily—and not all data should be shared. We first check the application’s supported actions, account permissions, data restrictions, and available connection methods. Older or specialized systems may need custom work or a different approach.
Do we have to replace our current tools?
Often the opportunity is to make existing tools work together. We assess their capabilities before recommending changes. Some integrations require a paid app edition, additional connector, or administrator approval.
Will an AI agent make decisions without us?
Only the actions explicitly permitted by the design should run automatically. We can begin with suggestions and drafts, then add narrowly defined actions after testing. Important decisions and exceptions stay with the people responsible for them.
What happens when a connection fails?
The workflow needs a clear failure path: notify an owner, preserve the request, and prevent duplicate actions. We plan safe retry and manual fallback behavior rather than assume connected services are always available.
Start with the task your team is tired of repeating
Tell us which apps you use and where work gets stuck. ETS will help identify a focused integration or AI workflow worth testing. You do not need a technical specification to start.