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Flasin

AI automation & AI solutions

AI Automation That Works for Your Business

Flasin builds AI agents, automation, conversational AI and document intelligence systems that integrate with the way businesses already work.

  • Answers on the phone, on your site and in your inbox
  • Connected to the systems your team already uses
  • Handed to a person the moment it should be

Comes in

  • Calls & messages
  • Documents & forms
  • Business events
Flasin AI
  1. Understand01Reads the request, the document and the context behind it
  2. Decide02Applies your rules, your pricing and your escalation policy
  3. Automate03Takes the action in the system where the work actually lives

Goes out

  • CRM record updated
  • Appointment booked
  • Ticket routed or answered
  • Internal systems in sync

A person takes over whenever the request needs one — with the full conversation attached.

What we build

Four systems that do the work, not just the talking

Each one is built for a specific job and connected to the systems that job already runs through.

Looking for something else? See all Flasin services

How Flasin works

Four steps from a process that stalls to one that runs

No discovery phase that produces a slide deck. The first conversation is about a process you can name.

  1. 01

    Understand

    We map the process end to end: what triggers it, who touches it, which systems hold the data, and where it currently stalls.

  2. 02

    Build

    We design the right solution for that process — voice, chat, automation or document intelligence — and integrate it with your existing systems.

  3. 03

    Launch

    We test it against real cases from your business, agree the escalation rules with you, and deploy it once it behaves the way your team would.

  4. 04

    Improve

    We monitor what it handles and what it hands over, correct the gaps, and extend it to the next process once it is holding.

What gets automated

The work that fills your team's day, handled

These are the tasks most businesses hand over first, because they are repetitive, time-critical, and follow rules a team already knows.

Answer customer questions

Common questions about hours, pricing, availability and policy get an accurate answer immediately, on the phone and on your site.

Qualify and route leads

New enquiries are asked the qualifying questions your team would ask, then routed to the right person with the answers already recorded.

Book and confirm appointments

Real availability is checked, the slot is booked, and confirmations and reminders go out without anyone rekeying anything.

Follow up without being chased

Quotes, enquiries and unfinished conversations get a follow-up on schedule instead of depending on someone remembering.

Process documents

Contracts, invoices, forms and reports are read, compared and summarised, with the fields you need pulled out as structured data.

Keep systems in sync

The CRM, the helpdesk, the calendar and the internal tools get updated as part of the same flow, not as a separate manual step.

Less manual workFaster response timesMore consistent operations

Integrations

AI is only useful where the work already happens

Flasin connects to the systems your business runs on, so an automated conversation ends in an updated record rather than a notification for somebody to action later.

CRM & sales

Create and update records, log every conversation, score and route new leads.

  • HubSpot
  • Salesforce

Support & helpdesk

Draft replies, tag and route tickets, escalate to a person with the full history attached.

  • Zendesk
  • Intercom

Scheduling

Check real availability, book, confirm and reschedule without a human in the loop.

  • Google Calendar
  • Calendly
  • Acuity Scheduling

Messaging & email

Meet customers on the channel they already use, with one set of answers behind all of them.

  • Slack
  • WhatsApp
  • Telegram
  • Gmail

Documents & knowledge

Read, search and extract from the places your business already keeps its information.

  • Notion
  • Confluence
  • Airtable
  • Google Drive

Commerce & operations

Pull order, product and inventory context into the answer instead of asking the customer.

  • Shopify
  • Stripe

Workflow automation

Orchestrate the steps between systems, with retries and monitoring rather than a fragile chain.

  • n8n
  • Zapier
  • Make

Anything with an API

Most of the work is custom: REST APIs, webhooks and internal databases. If your system can be reached programmatically, it can be part of the automation.

Named systems are integrated per deployment using their public APIs. Flasin is not affiliated with, or endorsed by, any of them.

How the work pays off

Real business problems. Practical AI solutions.

Four patterns we build most often. Each one starts with something that is already costing a team hours, and ends with a system designed to take that work off them.

AI Voice Agents

The problem

Calls come in while the team is with a customer, on site, or closed for the day. The caller does not leave a voicemail — they call the next business on the list.

What we build

A voice agent answers on the first ring, handles the routine questions, captures the caller's details, books the appointment, and hands anything unusual to a person with the context attached.

What it is designed to improve

Designed to stop calls going unanswered outside staffed hours and to turn a missed call into a booked appointment or a qualified lead.

Explore AI Voice Agents

AI Chatbots

The problem

The same twenty questions arrive through the website every week, and answering them consumes the time of the people who should be closing work.

What we build

A chatbot trained on your own documentation, pricing and policies — answering in your wording, qualifying the visitor as it goes, and escalating to a human the moment the question stops being routine.

What it is designed to improve

Designed to reduce the repetitive support workload and to make sure a visitor with a real buying question reaches a person quickly.

Explore AI Chatbots

AI Automation

The problem

Information is retyped between a form, a spreadsheet, a CRM and an invoicing tool. It is slow, it is nobody's favourite job, and it is where mistakes get made.

What we build

The handoffs between those systems are automated end to end, with validation at each step and an alert when something needs a human decision rather than a silent failure.

What it is designed to improve

Designed to remove manual re-entry between systems and to make the status of a job visible without anyone having to chase it.

Explore AI Automation

AI Document Assistant

The problem

The answer is somewhere in a contract, a policy PDF or four years of proposals, and finding it means someone reads until they hit it.

What we build

Your documents become a searchable knowledge layer that answers questions in plain language and cites the source passage, so the answer can be checked rather than trusted.

What it is designed to improve

Designed to cut the time spent searching internal documents and to keep every answer traceable back to the document it came from.

Explore AI Document Assistant

These describe what each system is built to do, not outcomes measured at a named client. When a client agrees to publish their own numbers, they will appear here with their name on them.

Why Flasin

Built to run in production, not to demo well

A convincing prototype and a system your team can depend on are different pieces of work. We are hired for the second one.

Built around a real workflow

We start from a process you can name and a problem you can measure, not from a model or a demo looking for a use.

Integrated, not bolted on

The AI writes into the systems your team already lives in. If it does not update the CRM, it has not finished the job.

Human oversight where it matters

You decide what it may do on its own, what needs review, and what goes straight to a person. Escalation is designed in, not bolted on later.

Outcomes you agreed to measure

Before we build, we agree what this system is supposed to change and how you will see it. We publish no numbers we cannot show you in your own data.

Security-conscious by default

Least-privilege access to each system, credentials held in your accounts, and your business data kept out of public model training.

Improved after launch

Automation drifts as a business changes. We monitor what it gets wrong and correct it, rather than handing over a black box.

Why teams choose Flasin

What you can hold us to

No badges we have not earned and no logos we have not been given. These are the working practices behind every Flasin deployment.

Custom AI implementation

Every deployment is built for one business. No reseller dashboard, no template account with your logo dropped into it.

Built around your workflow

We map the process you already run before anything is automated, so the AI fits the way your team works rather than the other way round.

Business-focused automation

Scoped against a task that costs you time or revenue today. If a workflow is not worth automating, we say so.

Secure integrations

Least-privilege API access, credentials held in your accounts, and a written record of exactly what each integration can read and write.

Human handoff by default

Every agent and chatbot ships with an escalation path to a person, plus the rules that decide when it takes one.

Ongoing optimization

Launch is the start. Transcripts, failure cases and edge cases get reviewed and folded back into the system.

These are practices we work to on every engagement, not certifications we hold. Ask us and we will put the specifics for your project in writing before you commit to anything.

Security & oversight

Automation you can hand a customer without worrying

AI that touches customer conversations and business records needs boundaries. These are the ones we build in by default.

Controlled access

Each integration gets the narrowest permissions that let it do its job, using credentials that stay in your accounts and that you can revoke.

Business data protection

Your documents and customer data are used to run your system, not to train public models. Where a deployment needs to stay inside your own infrastructure, it can.

Human review

High-stakes actions — refunds, commitments, anything irreversible — are put in front of a person before they happen.

Responsible automation

The agent says it is an AI assistant, it does not invent answers it does not have, and it hands over cleanly when a conversation needs a human.

We describe the practices we follow, not certifications we hold. Ask us for specifics on how your data would be handled in your deployment and we will put it in writing before you commit.

See it working

See how AI can work in your business

Implementations we have built and can walk you through live. Each one is labelled so you know exactly what you are looking at.

See all implementations

Questions

What people ask before they start

If the answer you need is not here, ask us directly — you will get the same level of specificity.

Start here

Find out what your business can automate with AI

Tell us how one process actually runs today and we will tell you, specifically, which parts of it AI can take over — and which parts it should not.

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