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AI Consulting Services

Get clear, practical guidance on where AI can make a real difference to your business, and a plan to deliver it, from founders and senior engineers who build AI into software every day.

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What you get with Authect's AI consulting services

Everyone is being told to use AI; far fewer know where it will actually pay off. We help you separate the real opportunities from the hype, check that your data and systems can support them, and turn the best ones into a plan with clear costs, risks and expected value.

Our advice comes from people who build and ship AI systems, not just talk about them. We use AI in our own delivery every day, with an engineer reviewing every line before it ships, so we know what today's models do well, where they fail and what it takes to run them safely in production. Every recommendation is tailored to your operations, your constraints and your budget.

What we do

Business needs our AI consulting addresses

From a first strategy to a production system, these are the areas where we help most often. Many link to a service we can deliver end to end once the strategy is agreed.

  • AI strategy and roadmap

    A strategy tied to your business goals: which AI initiatives to pursue, in what order, with what data and how to measure success.

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  • Intelligent automation

    Use language understanding, document processing and workflow automation to take repetitive, manual work off your team.

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  • Generative AI

    Add assistants, summarisation, search and content generation to your existing software and internal tools.

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  • Custom AI solutions

    Design and build AI features and applications for problems off-the-shelf tools can't solve well.

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  • AI agents

    Agents that plan and carry out multi-step tasks across your systems, with guardrails and human approval where it matters.

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  • AI and security

    Anomaly detection and fraud signals powered by machine learning, and security reviews of the AI systems themselves.

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  • Model optimisation

    Make existing models faster, cheaper and more accurate, with the monitoring to keep them that way in production.

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  • Responsible and ethical AI

    Guidelines and safeguards for privacy, bias, transparency and human oversight, so your AI use stays trustworthy and compliant.

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  • Advanced analytics

    Dashboards and analysis that turn your data into insights people can act on in their daily decisions.

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  • Forecasting and prediction

    Predictive models for demand, churn, risk and other patterns, built on your own historical data.

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  • Document and content analysis

    Extract, classify and check information in documents, images and text at a scale people can't manage by hand.

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  • Training and enablement

    Hands-on sessions that help your team use AI tools well and understand the systems we build with them.

Not sure where AI fits in your business? Let's find out together.

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AI life cycle

The life cycle of an AI solution

Consulting is the start of the journey, not the end. We can stay with you through every stage, so the strategy we write together is the one that reaches production.

  1. 01

    Preliminary assessment

    We learn your goals, challenges and current systems, and agree where AI might help and how we'll judge success.

  2. 02

    Consulting

    We review your data and infrastructure, find the gaps and shortlist the use cases with the best balance of value and risk.

  3. 03

    Development

    We build the chosen solution, starting with a proof of concept and growing it into a reliable production system.

  4. 04

    Optimisation

    Once live, we monitor accuracy and cost, retrain or adjust models, and add new capabilities as your needs grow.

Consulting process

Our three-stage AI consulting process

A focused engagement that ends with an AI strategy you can act on: priorities, costs, risks and a first project ready to start.

  1. 01

    Awareness

    We get to know your organisation, its goals and its pain points through conversations with leadership and the people who do the work. We also explain, without jargon, what current AI can and can't do, so everyone starts from the same understanding.

  2. 02

    Opportunity evaluation

    We collect and shape ideas, then test the most promising ones against your data, systems and constraints. Each opportunity is scored on business value, feasibility, cost and risk, and the strongest may get a quick prototype to prove the point.

  3. 03

    AI strategy

    We bring the findings together into a strategy aligned with your long-term goals: the initiatives to pursue, the order to do them in, the data and infrastructure they need, the governance around them and a realistic budget and timeline.

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Want practical guidance on bringing AI into your business? Ask the founders who build it.

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What you achieve

What you can achieve with our AI consulting

  1. 01

    Fill the gaps in your in-house AI expertise

    If your team doesn't have deep AI experience yet, you can rely on ours. We bring senior engineers who design, build and run AI systems, and share what we know so your people grow with the project.

  2. 02

    Move beyond the pilot stage

    Many AI projects stall after an exciting demo. We plan for production from day one, covering data pipelines, evaluation, monitoring, cost and security, so a successful pilot can actually scale.

  3. 03

    Put your data to work

    If you hold plenty of data but struggle to use it, we help you understand what it's good for, fix the quality and access issues that hold it back and turn it into features and decisions.

  4. 04

    Transform with confidence

    AI changes how people work, not just which tools they use. We help you plan the change around it, including roles, training and governance, so adoption is smooth and the benefits last.

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FAQs

AI consulting FAQs

What is AI consulting?

AI consulting is advice and planning that helps an organisation adopt artificial intelligence well: finding the use cases worth pursuing, checking that the data and systems can support them, choosing the right approach and planning delivery, governance and change. Good AI consulting ends with decisions and a plan, not just a report.

Can you help us develop an AI strategy?

Yes. Our consulting process is designed to produce one. We assess your goals and current systems, evaluate opportunities against value, feasibility and risk, and bring it together in a strategy with priorities, budget, timeline and the governance you'll need.

How can AI consulting help a company innovate?

It gives you a structured way to explore new ideas without betting the business on them. We help you find where AI could create new products or better experiences, test the best ideas quickly with prototypes, and scale only the ones that prove their worth.

How long does an AI consulting engagement take?

It depends on the size of your organisation and how many areas we look at. A focused assessment of one business area is much shorter than a company-wide strategy. We agree the scope and timeline with you at the start, and you get findings along the way, not only at the end.

Do we need technical expertise to work with an AI consultant?

No. We explain options in plain language and translate business goals into technical plans for you. It helps to involve someone who knows your systems and data, but your main contribution is knowledge of your business and its problems.

Does AI consulting include building a proof of concept or MVP?

It can. Where it helps a decision, we build a quick prototype during consulting. If you want to go further, the same team can develop the MVP and the full production solution, so nothing is lost between strategy and delivery.

Do you offer support after implementation?

Yes. AI systems need ongoing care: monitoring accuracy and cost, updating models as data changes, and adding new capabilities. We offer support and evolution as an ongoing service, or hand everything over to your team with documentation, since the code and models are yours.

Do you work with cloud or on-premises AI?

Both. We work with AI services on AWS, Microsoft Azure and Google Cloud, with hosted models from the main AI providers, and with open models you run in your own environment when data privacy or cost calls for it. We recommend the option that fits your requirements.

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