Your business took years to build. Your software shouldn’t.

Q: How quickly can Fine Solves show a working version?

We aim to show a working prototype early and release in phases. The timeline depends on the problem, data, integrations, and security requirements.

Q: Can you work with our ERP or existing systems?

Yes. We design around existing ERP, APIs, databases, and operational tools where access is available. The goal is to fit the operating model, not force a replacement.

Q: Who owns the code and intellectual property?

You own 100% of the approved code and IP delivered under the engagement, subject to the agreed commercial terms.

Q: Do you support the system after launch?

Yes. Deployment, monitoring, fixes, improvements, and AMC can be scoped after the first release.

Fine Solves builds focused AI software for enterprise teams that need a working system—not another pilot, program, or generic SaaS tool.

For founders, CIOs, and operations teams.

Data

Model

Workflow

Outcome

Fine Solves

System in motion

01Built for weeks, not quarters

02Milestone-led delivery

03Your code. Your IP.

Designed for teams in

In short

Fine Solves is an AI software development company in India. We turn one high-value business bottleneck into a focused, production-ready system.

Make it measurable

Put the bottleneck on a dashboard.

Use your own assumptions to estimate where a focused workflow build could create room for your team.

Private scenario model

People touching the workflow6

224

Manual hours per week18h

5h80h

Automation coverage55%

20%85%

Estimated loaded hourly value

Scenario output

What the same workflow could look like with a focused automation layer.

Annual hours back3,089estimated

Annual value signal₹37,06,800at selected rate

Work still manual2,527hafter coverage

Manual effort

5,616h

Recoverable

3,089h

Remaining

2,527h

Good first-release signal: target the repetitive slice first, then expand only after the team trusts the output.

Illustrative planning model. Replace the assumptions with your own operating data before using it for a business case.

The delivery loop

Frame. Build. Measure.

A practical AI operating rhythm: define the signal, ship the system, then use real evidence to make it better.

Live loop 01

Stage 01 / Frame

Turn the AI idea into a scorecard.

Start with the workflow, the owner, and the decision that should improve. We define the signal before we touch the model.

01Problem02Metric03Owner

Frame

signalsystemevidence

Start with the bottleneck

What needs to move?

Choose the business problem. We will show you the kind of system we build around it.

When work gets stuck between people, tools, and approvals.

Automate the work that keeps moving sideways.

We connect AI agents, rules, and approvals to the systems your team already uses—so repetitive work moves without adding another dashboard.

Discuss this problem

AI agents with human review
ERP and API integrations
Exception handling and audit trails

What we build

Four capabilities. One accountable team.

Enough range to solve the system around the problem. Enough focus to keep the first release useful.

Build

Custom enterprise applications shaped around your roles, controls, and operating model.

Web appsInternal toolsCloud systems

Automate

AI agents and workflow automation that take action inside the systems your team already uses.

AgentsApprovalsIntegrations

See

Predictive analytics and decision dashboards that make operational signal easier to act on.

AnalyticsForecastingAlerts

Connect

Document intelligence, reconciliation, deployment, and ongoing support from one accountable team.

OCRDataAMC

Proof of the build

Production is the point.

The best proof is a system that survives the real workflow. Here is one example of how we think about the build.

Enterprise hygiene Phased delivery Full documentation

Featured build01

AI-ready Hospital & Clinic Billing Platform

A production system for a complex healthcare workflow: multi-tenant, cloud-hosted, GST-ready, and designed around the way clinics actually bill and reconcile.

IPD / OPD billingInsurance & TPA trackingOne subdomain per clinicOperational analytics

Live at [Hospital Name]

Why Fine Solves

Less theatre. More useful software.

We sit between a slow consultancy and a rigid SaaS tool: senior hands-on delivery, focused scope, and ownership that stays clear.

One accountable senior team

The people shaping the solution stay close to the build and the business problem.

AI where it earns ROI

We use models when they improve a decision or workflow—not because a demo looks impressive.

Clear ownership after launch

Milestones, acceptance criteria, code, and IP stay visible and yours.

Built for teams inHealthcareManufacturingLogisticsDistributionEnterprise finance

FAQ

The practical questions.

Short answers for teams deciding whether a custom build is the right next step.

Bring the problem. We will help scope the answer.

What does a custom AI build usually start with?

A focused discovery conversation. We identify the workflow or decision worth improving, the systems involved, the acceptance criteria, and a practical first release.

How quickly can Fine Solves show a working version?

Can you work with our ERP or existing systems?

Who owns the code and intellectual property?

Do you support the system after launch?

Start with the problem

Tell us what should work better.

We will help you decide if custom software is the right answer—and what a sensible first release looks like.

Focused scope review Clear first-release path No transformation theatre