Platform

What exactly is Mako Engine?

An intelligence layer that sits between your systems and your customers, and decides what should happen next.

Not a CRM. Not a chatbot. The part your software has never had: something that understands the conversation well enough to act on it, inside limits you set.

Conversation intelligence

It works out the situation before it writes a word.

A reply is the last step, not the first. Before Mako says anything it establishes what is going on.

What is happening

The situation this conversation is actually in, not just the text of the last message.

What they mean

Intent behind the words, including when someone is hesitating rather than objecting.

What is known

Everything your system already holds about this person, pushed on every turn.

What is missing

The gap between what is known and what the next step actually requires.

Who should handle it

Which specialist fits this moment — or whether a person needs to.

What is allowed

Whether Mako may act at all, before it produces anything to act with.

Stateful workflow

It tracks where the deal is, not just what was said.

Mako runs structured progression rather than free-form chat. Each stage knows what it needs before anything can move forward, and who is allowed to move it.

Mako can advance it

Once the information that stage genuinely requires is present — not because the conversation felt positive.

A person must advance it

Mako gathers and summarises; the decision stays with your team.

An outside party decides

A lender or third-party outcome. Mako must never invent one, and structurally cannot record one.

It cannot talk its way past a required step

This is the practical value of running a state machine instead of a conversation. A customer saying an approval came through does not make it true in the system, and no amount of persuasive phrasing moves a stage that has not met its requirements.

Identity and job

Who am I, and what am I doing?

Two separate questions. Keeping them separate is what lets one business run many different campaigns without rewriting its voice each time.

Layer 4

Turn context

This customer, this thread, this stage, this message.

Pushed per turn

Layer 3

The job

New lead response, appointment setting, document collection, re-engagement, recruiting — the objective for this conversation.

Set per campaign

Layer 2

Business identity

Your name, voice, locations, contacts, products, policies, escalation paths and operating rules.

Yours to define and change

Layer 1

Universal engine

Conversation psychology, compliance screening, integrity checks, the state machine.

Same for everyone. Not editable from settings.

Memory and knowledge

Structured understanding, not 'the AI remembers everything'.

Mako turns conversations into structured state that persists across turns and can be handed back to your systems. That is a different and more useful claim than perfect recall.

Extraction

Available

Facts a customer gives you in passing — a timeline, a constraint, a correction to something you had wrong — become structured fields rather than text nobody re-reads.

Conversation state

Available

What has been asked, what has been answered, what was promised and by whom. Carried forward so nobody re-asks a question the customer already answered.

The right knowledge at the right time

Available

Company, product, policy and objection knowledge is retrieved for the moment it is relevant, rather than every fact being crammed into every conversation.

Objection handling

Available

A curated library of real objections and responses, searched by meaning — so the match is what the customer meant, not the words they happened to use.

Output

What comes back is structure, not just a sentence.

Your CRM gets something it can act on and store, which is the actual point of an intelligence layer.

A reply

Written in your voice, for this moment.

Extracted facts

With confidence, so low-certainty guesses can be ignored.

Conversation state

Where this now sits.

Next best action

What should happen, and by whom.

Tasks

Real work items, not log lines.

Alerts

Including a handover when a person is needed.

Learning

It improves under governance.

Improvement and safety are separate systems on purpose, so one can move without the other moving at all.

Your team's corrections

Available

When someone rewrites a draft before sending, that correction is captured as a worked example for your account.

Turns are evaluated

Available

Conversations are scored and outcomes tracked, so what improves is measured rather than asserted.

Safety is out of reach

Available

The learning loop has no path to compliance rules or authority settings. It cannot loosen what it is not permitted to touch.

What Mako does not claim: unattended self-improvement. Changes to how it behaves are governed, not emergent.

Honesty

If a customer asks whether it is AI, it says yes.

No pretending to be a person

Mako adapts tone, reads resistance and knows when to stop pushing. It does not claim to be human when asked directly, and it is not sold as a way to trick anybody.

Knowing when not to chase

Available

The conversation layer is as much about restraint as persuasion — slowing down, backing off, and handing over. A system that only knows how to push is a liability on your own phone number.

Your CRM already knows who the customer is.

Mako helps it know what to do next.