At a glance

Enterprise AI consulting that ends in a system in production

Enterprise AI consulting

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

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

What enterprise AI consulting includes here

What it is

Consulting that stops at a roadmap leaves the hard part undone. Our engagements cover four things in order: finding the use cases worth building, deciding what data and systems the AI may touch, setting the controls for access, logging and approvals, and delivering the first system into production.

That first system matters more than the deck. It shows security what the controls look like in practice, gives the business a real result and gives other teams a reference to copy.

We work alongside your engineering, security and legal teams, not around them. For AI adoption inside a large distributed engineering organization, we have advised leadership and embedded an engineer to prove the pattern in a live team.

Is this the right fit?

Fit check

Where this wins

Organizations with many AI ideas and no priority order

A mapping exercise turns a long list into a short, ranked one before money is spent.

Regulated or security-sensitive teams

Access scoping, audit logging and approval steps designed before any agent touches real data.

Leadership that needs a first result, not a pilot graveyard

One narrow system in production that others can follow.

Organizations with many AI ideas and no priority order A mapping exercise turns a long list into a short, ranked one before money is spent.
Regulated or security-sensitive teams Access scoping, audit logging and approval steps designed before any agent touches real data.
Leadership that needs a first result, not a pilot graveyard One narrow system in production that others can follow.

When NOT to use this

You want a strategy document only. We can advise, but our value is in what ships afterwards.
You need a certification or audit attestation from us. We build controls your auditors can review and do not claim certifications we cannot show.
You want an enterprise-wide rollout in one step. We start with one system and expand where it sticks.

How an enterprise engagement runs

How it works

Map first, build one thing, then expand. Each stage has a deliverable your stakeholders can review.

Typical timeline

Mapping first, then one production system, scoped after discovery

Stack we build with

Claude · OpenAI · TypeScript · Python · PostgreSQL · MCP · n8n · Your cloud account

Opportunity mapping

Interview teams, list the candidate use cases and rank them by value, risk and effort.

Governance and access design

Decide what data the AI may read, what it may change and who approves what.

First system build

Build the top-ranked use case with logging, permissions and approval steps in place.

Production release

Release with monitoring and a runbook, and review the first weeks of real use.

Expansion plan

Decide the next systems based on what the first one showed.

01 Opportunity mapping Week 1 to 3 Interview teams, list the candidate use cases and rank them by value, risk and effort. Deliverable Ranked opportunity map
02 Governance and access design Week 2 to 4 Decide what data the AI may read, what it may change and who approves what. Deliverable Access and control model
03 First system build Week 4 to 10 Build the top-ranked use case with logging, permissions and approval steps in place. Deliverable Working system in a test environment
04 Production release Release with monitoring and a runbook, and review the first weeks of real use. Deliverable Live system and review
05 Expansion plan Decide the next systems based on what the first one showed. Deliverable Next-phase backlog

Not sure which use case comes first?

We map candidates against value, risk and effort and recommend one to build. The audit call is free.

Where enterprise teams start

Use cases

Legal & Compliance Automation

Saved €10K in Fines

Customer Support Automation

Marketing Operations Automation

Role-specific AI skills

Narrow assistants for named roles, deployed with usage tracked in one console.

Governed access to internal data

Agents that see only what each person is allowed to see.

Document-heavy back office

Documents read, matched and routed with exceptions sent to a person.

What your first 30 days look like

First 30 days

A ranked map and a control model you can take to security.

Stakeholder interviews

Week 1

The teams closest to the work describe where time and errors go.

Ranked opportunity map

Week 2 to 3

Candidates scored for value, risk and effort, with a recommended first build.

Access and control model

Week 3 to 4

What the AI may read and change, who approves, and what gets logged.

Build plan

Day 30

A scoped plan for the first system with named owners on your side.

Scope and exclusions

Scope

In scope

AI opportunity mapping and ranking against effort and value
Data access, permission and logging design
Security and data-handling review with your teams
Delivery of the first production system
Handover, monitoring and a plan for the second and third systems

Not in scope

Vendor certifications or compliance attestations on your behalf
Enterprise-wide change management programmes
Replacing core enterprise platforms
Guaranteed savings figures before a system has run

Results from comparable engagements

Results

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

Leadership was advised on the AI rollout approach, and one embedded engineer proved the pattern in a live team, which became the reference other teams followed.

The whole database became an agent anyone can talk to, with each person seeing and generating reports only for what they are allowed to touch.

How this is priced

Pricing

Priced per project and scoped after a short discovery call, not sold as a fixed package. Cost follows the number of systems, the access model and the security requirements.

Scoped build

Scoped after a discovery call

Most engagements start with one narrow, high-value piece so you see it running in production before anything expands.

Embedded engineer

From $60,000/year

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

Start with one governed system

Next step

Book a free audit call. Bring the constraints your security and legal teams care about, and we plan around them.

Tell us where AI should start

A 30 minute call. We look at your teams, systems and constraints and recommend which first use case would earn trust.

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

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Before we build

At a glance questions

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

How is this different from a strategy consultancy?

We build. The output of the mapping phase is a system in production, not only a report. Engineers who write the code take part in the scoping, so the plan reflects what can be built.

Do you handle security and compliance?

We design access controls, logging and approval steps and review data handling with your security team. We do not claim certifications we cannot show, and your auditors have the final say.

How long before something is in production?

We map first, then ship one production system. Timing depends on integrations and review cycles, and we scope it after discovery.

What does it cost?

Scoped after a discovery call because it depends on systems, access model and security requirements. Placement of an embedded engineer starts from $60,000/year.

Can you work with our existing teams and vendors?

Yes. We work alongside your engineering and security teams and connect to the tools you already run.