At a glance

AI implementation that gets past the pilot and into daily use

AI implementation services

Book a Free Strategy Call Explore the service

Free 30-min call. No pitch, no slides.

Your code. Your infrastructure. Production guardrails. Built around your workflow. One accountable engineering team.

What AI implementation services include

What it is

You have picked a use case, or a pilot exists. Implementation means connecting it to the systems where the work happens, testing it against real examples, deciding what a person still approves, and putting monitoring around it.

We measure before we launch. A test set built from your real cases tells us if the system is good enough, and tells you what wrong looks like. Launching without that is guessing.

Adoption is part of the job. We put results inside the tool people already use so nobody has to open a new tab.

Is this the right fit?

Fit check

Where this wins

A pilot that works but nobody uses

We find why it stalled, usually integration or trust, and fix that instead of rebuilding.

A decided use case with no engineering capacity

Your team knows what it wants. We provide senior engineers to build it properly.

Regulated teams that need a human in the loop

Automate tracking and follow-up without automating the decision that needs a professional.

A pilot that works but nobody uses We find why it stalled, usually integration or trust, and fix that instead of rebuilding.
A decided use case with no engineering capacity Your team knows what it wants. We provide senior engineers to build it properly.
Regulated teams that need a human in the loop Automate tracking and follow-up without automating the decision that needs a professional.

When NOT to use this

You have not chosen a use case yet. Start with the consulting page, then come back.
You want a model trained from scratch. We integrate and orchestrate existing models.
No one on your side can review results. Implementation needs a domain owner.

How an implementation runs

How it works

Build against real cases early. Everything else follows from how the system behaves on them.

Typical timeline

Four to eight weeks from a chosen use case to a monitored rollout, scoped after the audit call

Stack we build with

Claude · OpenAI · Python · TypeScript · PostgreSQL · Supabase · n8n

Baseline and access

Collect real examples, confirm system access and define what good looks like.

Integration build

Connect the model to your systems and put results where people already work.

Evaluate and tune

Run the evaluation set, study the failures and tune prompts, tools and guardrails.

Controlled rollout

Release to a small group, watch usage and errors, then widen.

Handoff or operate

Your team owns it with a runbook, or we operate it under a maintenance plan.

01 Baseline and access Week 1 Collect real examples, confirm system access and define what good looks like. Deliverable Evaluation set and success measure
02 Integration build Week 2 to 4 Connect the model to your systems and put results where people already work. Deliverable Integrated first version
03 Evaluate and tune Week 4 to 5 Run the evaluation set, study the failures and tune prompts, tools and guardrails. Deliverable Evaluation report
04 Controlled rollout Week 5 to 8 Release to a small group, watch usage and errors, then widen. Deliverable Live system with monitoring
05 Handoff or operate Your team owns it with a runbook, or we operate it under a maintenance plan. Deliverable Runbook and support agreement

What we implement

Use cases

Customer Support Automation

Legal & Compliance Automation

Saved €10K in Fines

Marketing Operations Automation

Patient or customer chatbots in production

Bilingual assistants running alongside operational tracking.

Meeting to text to filed record

Recordings transcribed, documents read and filed, updates routed to the right person.

Inbound support at scale

An agent handling most requests around the clock, escalating the rest.

What you have after 30 days

First 30 days

A measured first version, not a slide about one.

Evaluation set

Week 1

Real examples from your work with the answers you consider correct.

Integrated first version

Week 2 to 3

Running inside the tool people already use, on sample or sandbox data.

Evaluation report

Week 4

Where it is right, where it fails and what we changed because of it.

Rollout plan

Day 30

Pilot group, monitoring and the approval steps agreed before release.

Scope and exclusions

Scope

In scope

Integration with the systems where the work happens
An evaluation set built from your real cases
Human approval steps where judgment matters
Monitoring, alerts and a runbook
Handoff or a maintenance plan

Not in scope

Choosing the business case for you, which is the consulting engagement
Training foundation models
Clinical, legal or financial decisions, which stay with your professionals
Hardware or on-premise GPU procurement

Results from comparable work

Results

Achieved results only. Clients that have not agreed to be named are described instead.

About 120 patients on implantable heart monitors moved from several disconnected spreadsheets into one operational cockpit. Tracking and follow-up are automated without automating the medical decision, and a bilingual patient chatbot runs in production alongside it.

A multilingual WhatsApp AI agent now handles 80% of requests without a human touching them. Response time had averaged over 4 hours. The client reports roughly $18,000 a year saved and support workload down 40%.

Meetings are recorded and turned into text automatically, documents are read and filed without re-typing, and client updates reach the right notary the moment they happen.

How this is priced

Pricing

We do not sell fixed packages sight unseen. The number depends on how many systems the work touches, and the audit call tells you that number before you commit to anything.

Single workflow

Low four figures

One focused workflow live in one to two weeks, with error handling, retries and monitoring built in from day one.

Full system

Scoped after an audit call

AI steps, monitoring and integrations across several systems, typically four to eight weeks. No template price, because scope drives the cost.

Embedded engineer

From $60,000/year

A dedicated engineer building and maintaining the work inside your team, instead of a scoped project.

Tell us about the pilot or use case

A 30 minute call. We look at what exists, what is blocking it and what it would take to run in production.

In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.

Consultation

This call is for teams ready to move. If that's you, pick a time.

Book a Call

Talk to an AI engineer

Choose a time for your free 30-minute strategy call. Live availability is shown in your timezone.

Book a 30min Free Strategy Call

In this call, we?ll walk through your project scope, timeline, and goals?so we can both check if we?re a fit. No obligation, no slide deck, just a working session.

Don?t want a call? Email info@manasflow.com

Book Now

Free 30-min Strategy Call
Custom Solution Design
Choose a time that suits you

One connected approach, from the first workflow to a company that runs smarter.

Built around your business. Powered by ManasFlow.

Built with the tools your team already knows

ManasFlow Automation Teaminfo@manasflow.com

Choose your time

Book your free 30-minute strategy call. Choose an available date and time in your timezone.

Book a Free Strategy Call

Your calendar opens here. You can also open the booking page or email us.

30 minutesLive availability

A practical working sessionNo commitment required

Before we build

At a glance questions

Practical answers about scope, delivery, ownership, and working with ManasFlow.

How is implementation different from consulting?

Consulting decides what to build. Implementation builds a decided use case and puts it into production. Many clients do both with us, but you can start at either.

How do you know the AI is good enough to launch?

We build an evaluation set from your real cases before launch and score the system against it. You see the failures, not just the average.

Can we keep a human approving the results?

Yes, and often you should. We automate tracking, drafting and follow-up and leave the decision that needs professional judgment with your people.

What does it cost?

Focused builds start in the low four figures. Larger systems across several tools are scoped after an audit call, typically four to eight weeks of work.

What if our pilot was built by someone else?

We review it, keep what works and rebuild only what does not. Most stalled pilots need integration and monitoring, not a restart.