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Tangensys • Plan, deliver, measure

AI consulting

Identify one worthwhile problem, then decide whether AI is appropriate. A roadmap should connect use cases with owners, costs and a way to evaluate the result.

Based in Noida, IndiaCustom quote within 2 working days

The work to plan together

A scope shaped around this requirement.

  • Opportunity reviewScope
  • RoadmapReview
  • Team trainingCheck
Illustration of the process, not client results.
  1. Approved informationWhat the tool is allowed to use
  2. Routine stepHandled automatically
  3. Human hand-overYour team takes over when needed
  4. Regular reviewOutputs checked and corrected

In short

What does AI consulting involve?

AI consulting helps businesses decide where AI is worth using, plan projects and train teams.

When AI consulting is a useful fit

Leadership teams

Prioritise useful business tasks with a responsible owner and realistic evaluation criteria.

Marketing teams

Assess information quality and measurement before adding another generation tool.

Operations

Select clearly defined pilots that can be compared with the current manual process.

Problems worth addressing first

Use these situations to identify the work that deserves attention before expanding the scope.

  • Too many AI tools, no plan
  • Staff use AI without guidance

A practical example

A team can compare a simple rules-based routing process with an AI classifier using real enquiries before committing to a full implementation.

This is an illustrative scenario to explain the approach, not a claimed client project.

The work we can include

The final quote identifies the deliverables, quantities, approvals and exclusions. Select the work that serves your goal rather than assuming every item is required.

  • Opportunity review
  • Roadmap
  • Team training
  • Usage guidelines

Where we usually begin

Consulting gives recommendations and agreed workshops. Software builds, subscriptions and ongoing monitoring are separately quoted.

Illustration: business facts and relevant pages feeding an AI answer with source links

Practical detail

Choose the smallest useful opportunity

An illustrative opportunity review compares three tasks before recommending an AI build. The best decision may be a simple rule or a process change.

Choose the smallest useful opportunity: illustrative planning and review record
Part of the workExample outputHow to review it
Request classificationPotential time saving; examples exist; mistakes can be reviewedPilot a small, clearly defined assistant with staff checking.
Invoice total calculationA fixed arithmetic task with clear fieldsPrefer validated rules or a conventional calculation.
Sensitive adviceIncomplete sources and high impact from errorsDo not recommend unattended decisions; clarify the expert review requirement.
Decision recordValue, data readiness, effort, failure impact and ownerThe business can see why a task was selected, deferred or rejected.

The output should be an actionable recommendation with dependencies and a first scope you can review, not a list of fashionable tools.

Decide whether AI is the appropriate tool

AI consulting should identify a useful business problem before recommending a platform. Review the current process, available data, error cost and people who will operate the result. Some problems are better solved by clearer rules or a standard integration.

Compare a few realistic options: improve the manual process, automate a fixed step or test an AI-assisted task. Include dependencies, ongoing charges and review effort. A pilot needs a defined decision, not only a presentation about potential savings.

Use representative examples to evaluate usefulness and failure. A recommendation should distinguish evidence from assumptions and explain what remains unknown. Implementation and ongoing operation are separately agreed when included.

Free AI project review

Start with a clear scope and a practical next step.

Tell us what you want to improve and share the relevant website or project details. We will review the starting point, recommend a suitable scope and provide a custom quote.

The initial review is free. Delivery, third-party charges and ongoing support are quoted separately.

Free AI project review

Process

How the work is delivered

  1. Review the starting point

    Review the current setup, examples of the problem and the information needed to agree the work.

  2. Agree scope and sign-off

    We start with real examples of the task and approved information. A small, clearly defined pilot tests usefulness, failure cases and the level of human oversight before wider rollout.

  3. Deliver and review

    Evaluation includes inaccurate answers, unavailable tools and uncertain requests. Provider charges, monitoring and updates are defined separately; the business keeps an accountable human owner.

  4. Hand over the next steps

    Review the agreed outputs together. Confirm what your team maintains and what needs a separate ongoing arrangement.

What progress should mean

  • Measures that match the work

    Judge the engagement by decisions made, risks identified and a usable roadmap. Benefits from implementation are measured only after a scoped pilot.

  • A record of delivery

    See what was completed, reviewed and still dependent on access or approvals. Project delivery and business results are reported separately.

  • Clear limits in the data

    We explain what can be verified and where a result is only an estimate. Contact clicks, conversations and sales are different actions.

Scope and responsibilities

You keep ownership of your business accounts and approved deliverables under the agreed contract. Any third-party licences, subscriptions or usage fees are identified before you commit.

FAQ

AI consulting: questions

Can't find your answer? Ask us on WhatsApp.

What should we bring to an AI consultation?

Bring a description of the repeated task, current tools, sample inputs without unnecessary sensitive data, and the decision you want to make. Explain common exceptions and who owns the process. That is more useful than a broad request to add AI everywhere.

Will you recommend AI for every process?

No. A simpler rule, clearer form or better handover may solve the problem more reliably.

Do you train teams?

Yes, training is part of this service.

How is AI consulting priced?

We quote against your goals, current setup and agreed scope. The quote separates delivery from third-party costs and ongoing support. You receive a custom quote within 2 working days.

How long does the work take?

The timeline follows the size of the agreed scope, access, content and approvals. We confirm milestones in the quote; a simple change and a full implementation need different schedules.

How will we communicate?

Your point of contact agrees a review rhythm with you. We use email, WhatsApp and scheduled calls, with decisions and scope changes recorded clearly.

What do you need to get started?

Share your current website or system, your main goal and examples of what is not working. We then agree the access and information needed for discovery.

Is everything included in the free review?

No. The free initial review helps define the next step. Detailed research, design, implementation and ongoing support are included only when stated in your quote.

Let’s agree the right next step.

Tell us your goals and current setup. We’ll recommend a practical starting point and provide a custom quote.

Custom quote within 2 working days

Get a quote

Tell us a little about your project. Custom quote within 2 working days.