AI Automation Agency

AI Workflow Automation Services

The work your team does by hand, done by a workflow that never sleeps.

Technosys is an AI automation agency. We connect your CRM, inbox, ERP, help desk and spreadsheets through Make.com, n8n and custom code, then put OpenAI and Claude at the decision points: classifying, extracting, drafting and routing. You get a working prototype on your own process inside two weeks.

500+
Workflows Built
Since 2019
2 wks
To Working Prototype
8
Industries Served
11+
Years in Business
The Challenge

Most companies do not have a technology problem. They have a hand-off problem.

01

The same data is typed three times

A quote arrives by email, gets copied into a spreadsheet, then re-keyed into the ERP. Every copy is a chance for an error and an hour nobody gets back.

02

Decisions wait for whoever is free

Tickets, enquiries and approvals sit in inboxes until someone with the right access picks them up. Customers experience that as silence.

03

Ten tools, zero shared truth

Sales, support and operations each trust their own system. Reports are stitched together on Friday afternoon and stale by Monday.

What we build

Automations that make decisions, not just move data

A plain integration copies a record from A to B. Our workflows read the record, decide what it means, and act. The AI handles the judgement a junior team member would make. A person reviews anything that could cost money.

Orchestration on Make.com, n8n or code

We pick the platform your team can maintain. Low-code where it fits, custom Python or Node services where the volume or logic demands it.

AI at the decision points

OpenAI and Claude models classify intent, extract structured data from any document, draft replies in your voice and route work to the right person.

Human-in-the-loop where it matters

Customer-facing messages, refunds, anything regulated: drafted by the workflow, approved by a person, with the full context attached.

Production-grade from day one

Retries, fallbacks, dead-letter queues, Slack and email alerts, and a monitoring dashboard. Automations that fail quietly are worse than none.

dashboard
Supplier email received
→ Quote extracted: price, MOQ, lead time
→ Compared against 4 other suppliers
→ Approval request sent to buyer
✓ PO raised in ERP after approval
Workflows in production47
Runs today12,847
Needing a human3.1%
Capabilities

What AI workflow automation covers

The same building blocks, assembled differently for each process. These are the ones we deploy most.

AI agents for enquiries and support

Agents that answer customers on email, chat and WhatsApp from your own documents and live data, qualify, book, and escalate with a brief.

ClaudeOpenAIWhatsApp

Document extraction and generation

Quotes, invoices, intake forms and supplier replies read into structured data. Reports, proposals and responses written from it.

OCRLLM extractionTemplates

System-to-system orchestration

CRM, ERP, help desk, e-commerce platform and finance tools connected through APIs and webhooks, including legacy systems with no native integration.

Make.comn8nREST

Event-driven triggers

Work starts when something happens: a form, an email, a stock level, a calendar event, a database change. Not when someone remembers.

WebhooksSchedules

Error handling and monitoring

Every workflow ships with retry logic, fallback paths and alerts, plus a dashboard showing runs, failures and latency.

AlertsDashboards

AI-written reporting

Weekly operations and pipeline summaries written from your live data, so management reviews run from one page instead of five exports.

NarrativesKPIs
Process

From audit to live automation in two to eight weeks

The same four steps for a single workflow or a full operations platform.

Step 1

Audit the process

Two to three days mapping how the work happens today: systems, hand-offs, volumes, hours. You get a written scope with the first bottleneck to remove.

Process mapHours baseline
Step 2

Prototype on your tools

A working prototype on your own data inside two weeks, so you see the workflow run before committing to the full build.

Live demoYour data
Step 3

Build and launch

Production build with error handling, monitoring and human review where needed. Documentation and hand-over included.

MonitoringDocs
Step 4

Measure and tune

Hours saved, runs without a human, error rate. We tune prompts, rules and routing against those numbers every week.

Weekly reviewPrompt tuning
Industries

Automation for every industry

AI automation is sold to any company. The workflow changes by industry, so here is what we have built in each.

Manufacturing

One AI dashboard for service, support and production, plus RFQ-to-PO automation for procurement.

70% less time per ticket

Real estate

Enquiry agents that answer, qualify and book viewings in two languages, and brief-to-floor-plan design automation.

2 min median response

Hospitality

AI guest agents across WhatsApp, email and DMs for hotel groups, and review response automation for restaurant chains.

70% enquiries resolved

E-commerce and D2C

AI email marketing engines that ship segmented campaigns in hours, and order, returns and exchange automation.

72% tickets with no agent

Healthcare

Digital intake, eligibility checks and reminders with privacy built in, on compliant infrastructure.

38% fewer no-shows

Automotive

Dealer lead response from live inventory, self-service test drive booking and quote request automation for suppliers.

5 min first response
0+
Workflows Built
0 wks
To Prototype
0
Industries
0+
Specialists
Let's Talk

Tell us how the work happens today

Book a strategy call. We will map the process, show you the workflow we would build, and prototype it on your own tools before you commit to anything.

FAQ

Frequently asked questions

What is AI workflow automation?

AI workflow automation connects the tools a business already uses, such as the CRM, inbox, ERP and help desk, so work moves between them without manual re-keying. We build it on Make.com, n8n and custom code, with OpenAI and Claude making the judgement calls: classifying, extracting, drafting and routing.

How long does an AI automation project take?

A two to three day audit identifies the process worth automating first. A working prototype on your own process follows inside two weeks, and the production build takes two to eight weeks depending on the number of systems involved.

Does the AI send messages to customers on its own?

No, not unless you choose that. Customer-facing AI output is drafted and approved by a person by default. Internal alerts, data updates and routing run automatically.

Is our data used to train AI models?

No. Client data is never used to train models. Regulated work runs on compliant hosting, and access is limited to what each workflow needs. The details are on our Data and Security page.