AI automation

Let software handle the routine. Keep people on the judgment calls.

Synas builds AI automation that sorts incoming messages, scores leads, drafts replies, and updates records. A person approves anything sensitive, and every run is logged.

What is ai automation?

AI automation uses software, and sometimes AI models, to handle repetitive steps such as sorting messages, scoring leads, and drafting replies. A person stays in charge of anything that needs judgment.

What problem does it solve?

Routine work waits on a person: sorting messages, drafting replies, chasing status, entering data.

  • Inquiries sit unanswered because the one person who replies is busy.
  • Staff retype details from messages and documents into records.
  • Follow-ups are drafted from scratch every time.
  • Simple questions take up time that should go to real customers.
  • Past automations broke silently, so nobody trusts them.

Who is it for?

Small and mid-sized businesses that answer the same questions and sort the same messages every day, and are tired of things slipping when the team is busy.

You likely need it when

  • Your team repeats the same low-judgment steps every day.
  • Replies are slow because one person has to read everything first.
  • You want AI help, but not an AI sending things unchecked.

What does it look like in practice?

New inquiries are sorted, logged, and answered right away. Your team handles only what needs a person.

Before

A price question arrives at 9 pm. It sits until morning, and nobody logs it.

After

The inquiry is logged and tagged, and a draft reply is ready. A person approves anything sensitive.

Illustrative example, not a client result

What does Synas build?

  1. 01

    Sorting and routing

    Incoming messages are read, tagged, and sent to the right person or queue.
  2. 02

    Lead qualification and scoring

    Each lead gets a score with the reason attached, so a person can agree or override it.
  3. 03

    Drafted replies, approved by people

    The system drafts the first reply. A person approves anything sensitive before it goes out.
  4. 04

    Details pulled into records

    Names, requirements, and budgets are extracted from messages into the CRM instead of retyped.
  5. 05

    A log of every run

    Each automation run is recorded, and exceptions go to a named person, not a black hole.

How an automated step runs.

  1. 01

    Receive

    A message or form arrives from a channel you already use.

  2. 02

    Read

    The relevant details are extracted and recorded.

  3. 03

    Decide

    A rule or a model proposes what happens next.

  4. 04

    Review

    A person approves anything sensitive or unusual.

  5. 05

    Act

    The reply, record, or reminder goes out, and the run is logged.

How much does ai automation cost?

Builds start at $650 (Starter), $1,650 (Growth), and $3,650+ (Advanced). Every project starts with a $99 Workflow Audit, credited in full toward the build. Final scope and price are confirmed after the audit.

Basic automation is included in Starter. AI qualification and scoring come with Growth, and AI agents are part of Advanced.

See all packages and what is included

What do you receive?

  • A written map of the steps that are routine and the ones that need a person
  • The automations for the agreed scope, with approval steps built in
  • A log of what each automation did
  • Notes on what to automate next

What has Synas built like this?

No client work is published yet. These are Synas’s own systems, labeled by what they are.

  • Public working demo

    WhatsApp Commerce Automation

    A WhatsApp order path Synas built: details extracted from a message into an order, with a person verifying every payment. Classification is rule-based, with an optional OpenAI mode. Runs as a demo.

    See how it works →
  • Internal build

    System Brief

    A working tool on this site that structures a workflow you describe and runs it once as a fictional case. Sample data only.

    See how it works →

WhatsApp Commerce Automation

Public working demo
  1. 01 INPUTWhatsApp messageInbound message reaches the webhook.
  2. 02 AUTOMATEDIntent and order extractionRule-based classification, optional OpenAI mode.
  3. 03 STATEOrder awaiting paymentOrder created as pending payment.
  4. 04 INPUTPayment screenshotAttached to the order with a confidence flag.
  5. 05 HUMANHuman verificationA person verifies or rejects the payment.
  6. 06 BRANCHRejectReason recorded on the payment and in the conversation; the order is not advanced.
  7. 07 BRANCHVerifyOrder moves to payment verified.
  8. 08 AUTOMATEDAddress collectionThe customer is asked for a delivery address.
  9. 09 AUTOMATEDFulfillment queueOrder is ready for fulfillment and queued.
  10. 10 OUTPUTStatus updatesFulfillment and order status are tracked.
Demo limitations: demo providers and data are used. WhatsApp sending is simulated unless credentials are set. Payment analysis is a simulation, not screenshot reading. Label printing is simulated. Background jobs are not connected. A working demo, not a production or client deployment.

How does an engagement run?

In six stages, each ending with something you can read or use. A written scope is agreed before any build starts.

  1. 01

    Discover

    A written map of how the work runs today.

  2. 02

    Structure

    A structured workflow: steps, owners, rules and the exceptions.

  3. 03

    Design

    The proposed system design, agreed before building.

  4. 04

    Build

    A working system for the agreed scope.

  5. 05

    Connect

    The system wired into your existing tools.

  6. 06

    Improve

    Adjustments and the next workflow, as the business changes.

Read the full approach

Next step

Start with one workflow.

The Workflow Audit is a $99 fixed-price session on one workflow: where it stalls, what a system could own, and what should stay human. The full $99 is credited toward any build.