- Fixed-price projects
- Many live in 2 weeks
- Human approval built in
AI automation services: hand the busywork to agents, keep the decisions.
We build AI agents that read emails and documents, update your CRM and accounting, and answer routine requests, with a person approving anything that matters. Then we monitor every run 24/7 and make it more accurate month by month.
workflow: lead-follow-up
LiveNew lead from your website
trigger
AI qualifies and scores it
agent.qualify()
Personal reply sent
email.send()
Deal created in your CRM
crm.sync()
What is AI automation
AI does the reading, sorting and typing. Your team does the thinking.
AI automation connects a language model to the tools your business already runs on: email, shared documents, CRM, accounting and helpdesk. Unlike rule-based automation, it copes with messy input such as free-text emails, scanned PDFs and half-filled forms. You set the rules and the approval points; we build the agents, host them and watch every run.
You
Keep the decisions
- Pick the workflows worth automating
- Set the rules and who approves what
- Review only the cases the AI flags
- Spend the saved hours on real work
Dataforge
Build and run it
- Map the workflow, edge cases included
- Build the agents and connect your tools
- Monitor every run, around the clock
- Raise accuracy with every correction
Use cases
Business processes we automate with AI agents
We start where your team loses the most hours each week, and expand once the first automation has proved its value.
Email
Inbox triage and replies
Every incoming email is read, tagged by topic and urgency and routed to the right person. Routine questions get a reply drafted or sent in seconds.
Finance
Invoice and document processing
Invoices, receipts and contracts are pulled from email or PDF, key fields extracted and checked against orders, then posted to your accounting software.
Sales
Lead qualification and follow-up
New leads get a personal reply within minutes, are scored against your criteria and land in your CRM with the full conversation attached.
Support
Customer support assistant
First replies to common questions are drafted from your own help articles and policies. Anything unclear or sensitive goes to a person.
Operations
Data entry between systems
Orders, contacts and records move between your tools automatically, so nobody copies fields from one screen to another.
Reporting
Reports and summaries
Daily and weekly reports are compiled from your systems and sent to email or chat, with the numbers explained in plain language.
How it works
From first call to an AI agent running in production
Map
We sit with the people who do the work, measure how long it takes and pick the workflow with the clearest return.
Build
We build on your real emails and documents, not demo data, with approval steps and edge cases handled before launch.
Launch
We switch it on next to your team, compare results with the manual process and hand over documentation of every step.
Run
We monitor every run 24/7, fix issues before they reach you and use each correction to make the agent more accurate.
Comparison
Custom AI automation vs. off-the-shelf tools vs. manual work
| Dataforge AI automation | Off-the-shelf tools | Manual work | |
|---|---|---|---|
| Messy input (emails, PDFs, scans) | Read and extracted by AI | Fixed formats only | Handled, but slowly |
| Fits your process | Built around it | You adapt to the tool | Yes, by hand |
| Mistakes and exceptions | Flagged for human review | Often fail silently | Caught if someone notices |
| Who maintains it | We do, monitored 24/7 | You do | Your team |
| Cost model | Fixed price per project | Per-seat or per-task fees | Hours of salary |
| Growing volume | Absorbed without hiring | Fees grow with usage | More people needed |
Technologies
What we build AI automations with
- AI
- Large language models
- AI agents and tool use
- Document and OCR extraction
- Search over your documents (RAG)
- Automation
- Workflow orchestration
- Webhooks
- Scheduled jobs
- Human approval steps
- Backend
- Python
- Node.js
- TypeScript
- Observability
- OpenTelemetry
- Sentry
- Grafana
- Hosting
- AWS
- Google Cloud
- Cloudflare
FAQ
Questions about AI automation
What can AI automation do for a small or mid-sized business?
It takes over repetitive, text-heavy work that doesn't need judgment: sorting emails, extracting data from invoices and forms, answering routine questions, updating your CRM and writing reports. Your team keeps the decisions and the customer relationships.
Is AI automation reliable enough for real business work?
Yes, when it's built with checks. We validate what the AI extracts, add human approval where a mistake would be costly and monitor every run, so uncertain cases reach a person instead of slipping through.
How much does AI automation cost?
Each project has a fixed price, agreed after the first call, so you know the full cost before work starts. We also estimate the running costs, such as AI model usage and hosting, before you decide.
How long until our first automation is live?
Many automations go live in about two weeks. Workflows that span several systems take longer; we agree on the timeline before we start.
Is our data safe?
Your data is used only to run your workflows. We choose the AI providers and settings with you, including options that don't use your data to train models, and document where every piece of data goes.
Do we need to change the software we use?
No. The automation connects to the email, CRM, helpdesk, accounting and ERP tools you already have.
What happens when the AI gets something wrong?
Every run is logged. Low-confidence results go to a person for review, and each correction is used to improve the automation, so the same mistake becomes less likely.
How is this different from Zapier or Make?
Those tools move data between apps with fixed rules and work well for simple triggers. We use AI where the input is unstructured, write code where the logic gets complex, and run and maintain the result for you instead of leaving it to your team.
Ways to work with us
Need something different? Compare our engagement models
Outsourcing, outstaffing, support and recruitment solve different problems. Pick the one that fits, or combine them.
Outsourcing
We deliver the whole project
We write the spec with you, build with AI coding agents under engineer review and hand over tested, documented software at a fixed price per milestone.
Best forNew products and well-defined features
Explore outsourcingOutstaffing
Developers who join your team
Dedicated developers from Moldova who work only on your product and report to you, while we handle recruiting, contracts and payroll.
Best forLong-term products and growing teams
Explore outstaffingSupport
We take ownership of your app
Debugging, observability, updates and steady improvements for web apps already in production — including ones built by others.
Best forLive apps that need a reliable owner
Explore supportRecruitment
We find the people you hire
Hourly recruiting, retained search paid in installments, or a full RPO team that runs your hiring, for engineers and business roles alike.
Best forCompanies hiring one key role or many roles at once
Explore recruitment
Tell us which work eats your week
Book a free 30-minute call. We'll look at your busiest workflows and tell you honestly which ones are worth automating, and which aren't. No obligation.