Solution: AI automation and integrations
Employees copy the same data between systems every day
We connect the tools you already pay for so data moves automatically, and use AI only for the parts that arrive as text or documents. People review the exceptions.
Sounds familiar?
Signs this is costing you time
Manual data entry hides in every business. An order comes in by email and is typed into the order system. A new customer is added to the CRM, then to accounting, then to the project tool. A spreadsheet is exported from one system and imported into another every Friday. Each step takes a few minutes and creates a chance for a typo.
Across a team, those minutes add up to days every month, and the errors add up to real costs: wrong invoices, missed orders and reports nobody trusts.
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The same customer or order details are typed into two or three systems.
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Weekly exports and imports keep systems roughly in sync.
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Typos and missing fields cause errors that surface weeks later.
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Skilled staff spend hours on copy-paste work.
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Information is always a day or a week out of date somewhere.
Before and after
How it works today, and how it works after
How it works today
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Data arrives by email, form, spreadsheet or phone.
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Someone reads it and types it into the first system.
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The same details are copied into other systems later.
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Mismatches are found by accident, often by customers.
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Nobody is sure which system has the right version.
How it works after
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Structured data flows between systems through their APIs.
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Emails and documents are read by AI and turned into structured records.
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Each record is validated before it is saved.
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Exceptions go to a review queue instead of silently failing.
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One system is the source of truth for each type of data.
What we build
What we build
Validation rules
Exception queue
Audit log
In practice
What it looks like in practice
An illustrative walk-through, not a client story.
A logistics company receives shipment requests by email from dozens of customers, each in their own format. Today, two coordinators read each email and type the details into the dispatch system, then again into the invoicing tool.
After automation, each email is read by AI, which extracts pickup and delivery addresses, weights, dates and references into a standard record. Validation checks the addresses and customer account. Clean records go straight into dispatch and invoicing through their APIs. About one in ten, usually with missing or unclear details, goes to a review queue where a coordinator fixes it in under a minute. The coordinators now spend their time on customer calls and problem shipments.
Models and tools
AI models and MCP servers that usually fit
We choose models by task, data sensitivity and cost, and test them on your real examples before we commit. These are common starting points, not a fixed recipe.
How we build it
The services behind this solution
Most solutions combine two or three of our services. These are the ones this one usually needs.
API integration
Make two systems share data reliably, with retries, logging and alerts when something goes wrong.
Business process automation
Map a process that runs on email and spreadsheets and turn it into software with clear steps and owners.
AI workflows
Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
CRM integration
Connect your CRM to forms, email, billing and support so customer records stay complete without typing.
Industries where it fits best
Honest limits
Limits and human checks
Not every data entry task should be automated. If a process happens a few times a month, the setup cost may never pay back. We start by measuring volume and error rates, then automate the flows with the clearest return.
AI extraction is very good but not perfect, especially with messy emails or poor scans. We never let uncertain extractions into your systems silently. Confidence thresholds, validation rules and a review queue keep a person in charge of anything unclear. Structured flows between systems do not need AI at all, and we do not use it where plain integration code is more reliable.
Keep exploring
Services, industries and case studies
Related services
View all related services- API integration Make two systems share data reliably, with retries, logging and alerts when something goes wrong.
- Business process automation Map a process that runs on email and spreadsheets and turn it into software with clear steps and owners.
- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
- CRM integration Connect your CRM to forms, email, billing and support so customer records stay complete without typing.
- Automation and Integrations CRM, payment and API integrations, MCP connections and workflows that stop people copying data by hand.
- Web applications Custom browser-based software for the work your team does every day, from booking tools to operations systems.
Solutions
View all solutions- Scheduling and drafting automation Turn one piece of content into posts for each channel, schedule them and track results, with approval before anything goes out.
- Approval workflows Requests, approvals and reminders in one place, with clear owners and deadlines instead of long email threads.
- Automated reporting Reports that build themselves from your systems on schedule, with a plain-language summary of what changed.
- Email triage Sort a shared inbox by topic and urgency, pull out the key details and draft replies for a person to send.
- Price monitoring Collect competitor prices automatically, match them to your products and alert you when something changes.
- Feedback analysis Read every review, survey and ticket, group them by theme and sentiment, and show what customers keep asking for.
Industries
View all industries- Logistics and transportation Driver apps, order and shipment tracking, document processing and integrations for logistics and delivery companies.
- Professional services Client portals, proposal drafting, knowledge assistants and internal tools for consultancies, agencies and firms.
- Property management Tenant portals, maintenance tracking, owner statements and inbox automation for property managers.
- Finance and accounting Client portals, document collection, invoice and receipt processing, and reporting for accounting firms and finance teams.
- Recruiting and staffing Candidate screening assistants, ATS integrations, interview notes and onboarding automation for recruiters and staffing firms.
- Ecommerce Online stores, product data cleanup, support assistants, price monitoring and order automation for online retailers.
Case studies
View all case studies- Facility management platform Every request, inspection and cost for every building now lives in one place, with a clear owner and status.
- Payroll system for an IT services company Payroll is calculated from recorded inputs, reviewed once and sent as payslips in a single batch, with every change logged.
- Beach rental booking system A long-running booking system kept earning while it was extended, tested and given a safe, gradual path to a modern stack.
- Fashion deal aggregator Sale items from more than thirty brands are collected every night and classified consistently by a three-stage pipeline.
- Tax filing service platform Clients upload documents and see where their case stands, and staff work from one queue with deadlines and reminders.
- Vacation rental operations system One calendar per property, cleaning tasks created from bookings, and owner statements built from the same records.
Guides and articles
View all guides and articles- How to measure the ROI of AI automation Measure the return on AI automation with a baseline, the right metrics and honest accounting of costs.
- How to migrate a legacy application Replace an old system step by step without stopping the business, with tests, data checks and a way back.
- No-code vs custom development Where no-code tools shine, where they hit limits, and when custom software pays off.
- AI automation vs traditional automation How rule-based automation and AI automation differ, where each fits and how to combine them.
- How to automate payroll Turn a manual monthly payroll into a reviewed, tested process with accurate payslips and a full audit trail.
- How to automate invoice processing Read, check, approve and post supplier invoices automatically, with people handling only the exceptions.
AI models
View all ai models- General purpose All-round language models for writing, summarizing, support, extraction and most everyday business tasks.
- GPT-6 Luna OpenAI's most efficient model for focused, high-volume tasks, with vision, tool calling and structured outputs at the lowest price level in the family.
- Claude Haiku 4.5 Anthropic's fastest and lowest-cost Claude model, with near-frontier intelligence for high-volume and real-time work.
- Coding Models that write, review and explain code, and power coding assistants and developer tools.
- Gemini 3.5 Flash-Lite Google's lowest-cost current Gemini model for high-throughput work such as sub-agent tasks and document parsing.
- GPT-4.1 An older OpenAI model described as its smartest non-reasoning model, strong at following instructions and calling tools, with a very long context window.
MCP servers
View all mcp servers- Automation Servers that connect AI to automation platforms and analytics, so it can trigger workflows and read results.
- Databases Servers that let AI query and, where allowed, change data in SQL, NoSQL, analytics and vector databases.
- Google Sheets Google's own Sheets MCP server lets AI read and update cell values and formulas, change spreadsheet structure and insert rows or columns.
- Airtable Airtable's official hosted MCP server lets AI list workspaces, create bases and read records, with wider read and write access to tables and automations.
- Zapier Zapier's official MCP server lets AI discover, enable and run actions across thousands of connected apps, with separate read and write tools.
- PostgreSQL Lets AI assistants explore a PostgreSQL database, run SQL in a restricted read-only mode and check query performance and database health.
Glossary terms
View all glossary terms- API integration An API integration connects two or more systems through their APIs so data and actions flow between them automatically.
- Workflow automation Workflow automation uses software to move work through a series of steps, such as routing, approvals and notifications, based on rules and events.
- Structured output Structured output is when an AI model returns its answer in a fixed format, such as JSON matching a schema, so software can use it reliably.
- API An API, or application programming interface, is a defined way for one piece of software to request data or actions from another.
- Automation Automation is using software to perform a task or process with little or no human effort each time it runs.
- Database A database is an organized store of data that software can search, update and keep consistent, such as customers, orders or bookings.
FAQ
Questions about AI automation and integrations
Have a question that is not here? Ask us directly.
Yes. AI reads the email, extracts the fields you need and creates a record, with uncertain cases sent to review. See email triage for related work.
Options include database connections, scheduled file exchanges or, as a last resort, browser automation. We explain the trade-offs. See API integration.
It depends on volume and how many systems are involved. We measure your current time and error rates first, so the savings are estimated from your numbers, not a generic figure. See measuring automation ROI.
It overlaps. We prefer API integrations, which are more reliable than screen-clicking robots, and use AI for unstructured inputs. RPA-style browser automation is a fallback for systems with no other access.