A dark mountain ridge emerging through pale clouds

AI implementation for mid-market firms.

We identify the workflow your business depends on. Then we design the intelligence layer around it.

10 to 20hours saved each week
15 daysto go live
60 to 90 daystarget ROI payback

Built for established firms with growing teams, complex workflows, and enough operational volume for AI to make a measurable difference.

Implemented across different businesses.

Here are a few examples of the problems we solved and what changed.

See one agent move real work forward.

The agent prepares context and routine actions. A person still owns every decision that affects the client or the business.

Live workflow example
Human approval stays visible
RQ
New consultation requestWebsite form · 9:42 AM
Received
01
Intake agentReads the request

Captures the goal, urgency, and missing context.

Complete
02
Context agentPrepares the record

Connects the inquiry to approved business information.

Ready
03
Human checkpointUmair reviews

Confirms the fit, recommendation, and response.

Decision
04
Follow-up agentMoves the work forward

Records the decision and prepares the next action.

Queued

Start with the work already costing you.

These planning ranges show where time usually returns. The free analysis identifies the first workflow for your business.

Client intake

Before

A request lands in one place. Context sits somewhere else. Staff rebuild the story before they can respond.

With Automutiny

An agent prepares the record, identifies what is missing, and routes it to the person who owns the decision.

8 to 12staff hours returned each week

Reporting and reconciliation

Before

People copy figures between systems, compare them by hand, and spend the review meeting checking the spreadsheet.

With Automutiny

An agent gathers approved records, flags exceptions, and prepares a traceable report for human review.

6 to 10staff hours returned each week

Follow-up and receivables

Before

Open items are scattered across inboxes and personal reminders. Follow-up changes with workload and memory.

With Automutiny

An agent tracks every open item, prepares the next message, and escalates only when judgment is needed.

10 to 16staff hours returned each week
Planning ranges, not promises. The baseline is confirmed before an implementation is approved.

The agent works inside your systems. You keep the keys.

Automutiny connects the tools you already trust. Access stays narrow, source records remain yours, and consequential actions stop for approval.

Your existing stack
EmailRequests and replies
CRMClients and opportunities
DocumentsApproved source records
AccountingTransactions and status
Automutiny agent
PrepareRead · connect · draft · flag
  • Uses approved records
  • Logs every action
  • Stops at the decision
Human authority
Decision readyReview the prepared action

Context, source, recommendation, and exception are visible before approval.

From first call to a controlled live system.

Every phase ends with something you can inspect. You always know what we need from you and what you receive next.

01

Map

One working call

Trace the workflow, records, owners, and failure points.

From you60 minutes and access to the people who know the work.
You getA clear workflow map.
02

Blueprint

One focused review

Define the agent, permissions, human checkpoints, and success measure.

From youOne round of decisions.
You getA fixed implementation plan.
03

Build

Inside your systems

Connect the approved tools and build the first working path.

From youNarrow access to the systems in scope.
You getA working agent in your environment.
04

Calibrate

Real examples

Test edge cases, tune the output, and confirm the escalation rules.

From youQuick reactions from the people who own the work.
You getA controlled pilot ready for daily use.
05

Go live

Watched launch

Train the team, monitor the workflow, and measure the result.

From youA clear owner and approval to launch.
You getA live system with visible accountability.

A strong fit for some teams. Not every team.

Good fit

  • A valuable workflow repeats every week.
  • The owner can name the business consequence.
  • A person can own the decision and baseline.
  • The team wants a working system, not another strategy deck.

Not ready yet

  • The process changes every time it runs.
  • No one owns the workflow or its records.
  • The goal is simply to add AI somewhere.
  • There is no safe way to test the result.
Check your first workflow

Security is part of the workflow.

We design access, review, and evidence before the agent touches daily work.

01

NDA first

Confidential operating details are protected before discovery begins.

02

Narrow access

Read-only and least-privilege permissions are used wherever the workflow allows.

03

Visible evidence

Sources, actions, exceptions, and approvals remain inspectable.

04

Human control

High-consequence actions wait for the accountable person.

Practical AI implementation guides.

Browse all guides

Local focus. Remote implementation.

Los Angeles Dallas Miami

Before you decide

Short answers to the first questions.

What does an AI implementation consultant do?

An AI implementation consultant turns an operating problem into a practical plan. Automutiny studies the workflow, source records, systems, risks, and human decisions before recommending where AI, integration, or automation belongs.

What does a workflow automation consultant do?

A workflow automation consultant finds where work stalls, repeats, or loses context. The useful deliverable is not a list of tools. It is a clear workflow design with ownership, controls, success measures, and an implementation path.

How much does AI consulting cost for a mid-market firm?

AI consulting cost depends on whether the firm needs advice, diagnosis, or implementation planning. Automutiny offers a $500 working consultation and a $9,500 strategic immersion. The immersion produces the diagnosis and implementation blueprint, not the software build.

What is an AI readiness assessment for a mid-market firm?

An AI readiness assessment checks whether a workflow has usable data, clear ownership, stable rules, safe review points, and a business case. It helps leadership avoid buying technology before the operating problem is understood.

What should a business automate first?

A business should automate a workflow that is frequent, costly, measurable, and safe to test. Start where the source record is reachable, the decision owner is known, and a failure can be caught without harming a client or the business.

How do you calculate workflow automation ROI?

Workflow automation ROI compares the full cost of the current process with the full cost of the new one. Include labor, rework, delay, errors, software, implementation, review, and ongoing support. Measure the same workflow before and after the change.

How do I choose an AI implementation partner for a mid-market firm?

A strong AI implementation partner should start with the workflow, explain the risks plainly, show what the engagement will produce, and define how success will be measured. Avoid firms that begin with a preferred tool or promise results before seeing the work.

Bring the operating problem.

Share the workflow, system, or decision creating friction. The intake agent will organize the context. Umair will review it and reply personally.