AI Discovery, Strategy & Roadmap

Find where AI can create
real business value

AI can automate tasks, improve decision-making, and help teams work more efficiently. But choosing an AI tool isn't the hard part. The real challenge is knowing where AI makes sense for your business, and where it doesn't.

Our AI Discovery, Strategy & Roadmap helps you identify high-value opportunities, assess what it will take to implement them, and create a clear path from business problems to a practical AI solution.

Book a Free AI Consultation How it works

Why now

AI is everywhere.
But knowing where to start is a different story.

AI has moved beyond experimentation to become a serious business priority. The challenge is no longer simply adopting AI but it's more like turning it into a meaningful business impact.

88%

of organizations now use AI in at least one business function.

McKinseyState of AI 2025

have managed to scale AI across their organization.

McKinseyState of AI 2025

72%

of leading organizations identify managing data as one of the top challenges preventing them from scaling AI use cases.

McKinseyThe data dividend

The service

What is AI Discovery, Strategy & Roadmap?

AI Discovery, Strategy & Roadmap helps businesses identify where AI can solve real operational problems, and where it may not be the right fit.

We start by understanding how your business works, the challenges your teams face, and where time or resources are being lost. From there, we identify practical AI opportunities and assess what it would take to implement them.

Your businessBring what you haveBusiness challengesInefficient workflowsData problemsAn AI idea

Discovery Call1–2 days

AI PossibilitiesWhere AI could potentially fit into your business.

AI OpportunitiesThe areas with the strongest potential for improvement.

Next StepsA practical direction for what to explore next.

AI Roadmap1–2 weeks

FeasibilityCan AI realistically solve the problem?

Data & IntegrationsWhat data it needs and how it connects to your systems.

GovernanceHow the solution is managed and used.

Solution DesignWhat the AI solution looks like in practice.

Path to MVPEstimated time and cost to implementation.

Build5–6 weeks

Working PrototypeTested against your real business data.

Live AI MVPBuilt around the agreed roadmap.

Adoption PlanFrom testing toward everyday use.

Validated with real dataYour team adopts itLive AI MVP

Depending on your business, these opportunities may include:

Reducing repetitive manual work

Improving operational efficiency

Supporting faster, better decision-making

Making better use of business data

Improving existing workflows

Automating parts of complex processes

We then assess each opportunity for feasibility, looking at the available data, required integrations, governance, and solution requirements.

The outcome is a practical AI roadmap that shows which opportunities are worth pursuing, what it will take to implement them, and how to move toward a working AI MVP.

Process

Our AI Discovery Process

Three stages. Each one ends with something your team can read, test, or use.

01 Discovery Call

Understand Your Business Before We Recommend AI

Every business has different workflows, systems, challenges, and priorities. We begin by understanding yours. During the discovery process, we look at your business operations and identify areas where AI could potentially improve the way your team works.

We'll explore

Business operationsRepetitive workflowsProcess gapsAI opportunitiesNext steps

Duration:1–2 Days

What you receive

Discovery Document — A focused 2–3 page summary.

AI Possibilities — Where AI could potentially fit into your business.

AI Opportunities — The areas that may have the strongest potential for improvement.

Next Steps — A practical direction for what to explore next.

02 AI Roadmap

Turn the Right Opportunity Into a Clear Plan

Once we've identified promising AI opportunities, we take the next step, understanding what it would actually take to build them. We assess the selected use case across the areas that can determine whether an AI initiative succeeds.

We assess

FeasibilityData & IntegrationsGovernanceSolution DesignPath to MVP

Duration:1–2 Weeks

What you receive

AI Roadmap — A clear path from the selected opportunity toward implementation.

Solution — A proposed approach for solving the identified business problem.

Delivery Plan — Estimated time and cost for moving toward implementation.

03 Build

Validate the Opportunity With Real Data

A roadmap gives you direction. A working prototype gives you evidence. Once the opportunity and roadmap are validated, we move into building. We test the selected use case against real business data and develop a working prototype that your team can use and evaluate. From there, we build an AI MVP based on the roadmap, with human-in-the-loop review and adoption support where required.

Our in-house AI MVP approach includes

Multi-provider AILoggingCost analysisHuman-in-the-loopAdoption support

Duration:5–6 Weeks

What you receive

Working Prototype — A practical version of the selected use case to test and validate.

Live AI MVP — A working MVP built around the agreed roadmap.

Adoption Plan — A plan to help your team move from testing toward practical use.

Outcomes

From AI ideas to a
clear path forward

By the end of the engagement, you will have:

A clear view of where AI can create business value

Identified opportunities worth pursuing

A feasibility assessment of the selected use case

Defined data, integration, and governance requirements

A proposed solution and implementation path

Estimated time and cost for moving forward

A clear path toward an AI MVP

See how quickly you can reach these
outcomes

Book a Free AI Consultation

With the use case assessed and the requirements clear, your team knows what it takes to move forward with development.

Where could AI create value?

We focus on finding where AI can genuinely improve the way your business works, and where it makes sense to invest.

Automate repetitive workImprove operational efficiencyMake better use of business dataImprove workflowsSupport better decision-making

Selected work

Delivering Results Across Industries

View all case studies

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It is a structured process for identifying potential AI opportunities in your business, evaluating their feasibility, and creating a practical roadmap for implementation.

No. You can come with a business challenge, an operational problem, or an idea you're considering. The discovery process helps identify where AI may be useful.

The Discovery stage takes 1–2 days, the AI Roadmap takes 1–2 weeks, and the Build stage takes approximately 5–6 weeks.

Yes. Data requirements and integrations are considered during the AI Roadmap stage, and the selected use case is validated against real data during the Build stage.

Yes. The AI Roadmap includes a delivery plan with an estimated cost and timeline for implementation.

If the opportunity is validated and you're ready to move forward, the Build stage can take the selected use case into prototyping and AI MVP development.

Not necessarily. The Build offering includes an in-house AI MVP template designed to work with multiple AI providers, giving you greater flexibility and visibility into AI costs.

Describe your idea

Tell us what you're building. We'll read it before the call, so the 30 minutes go on your problem rather than introductions.

Recognition

UpworkRank — #146 in Web Development, top 0.87%

New business

services@arithmiks.com

Office

Lahore, Pakistan

Find where AI can create
real business value

AI is everywhere.
But knowing where to start is a different story.

What is AI Discovery, Strategy & Roadmap?