[ AI integration · software consolidation · advisory ]

Get clear on where AI fits in your business.

I'm Carlos Real. I advise businesses on where AI is worth implementing and where it isn't, then build it: AI integrated into how you already work, and scattered software consolidated into one system you own.

Approach

Not everything needs AI. Knowing which parts do is the job.

Cost over time
build & ownrent forever

I start with the problem, then decide whether AI, simpler software, or no change at all is the right fix. Sometimes AI is the whole answer. More often it's one part of it.

  1. Where AI earns its place.

    Repetitive, high-volume work: answering enquiries, qualifying leads, processing documents, pulling reports. Time or revenue you can measure.

  2. Where it doesn't.

    Rare decisions, judgement calls you can't audit, or problems a simple rule already solves. If AI isn't the answer, I'll say so.

  3. Most AI projects stall after the demo.

    The tool works in testing, then the team never uses it properly. Getting it adopted in the day-to-day business is the harder part.

Consolidation

Imagine your entire business in one place.

CRMAccountingHRPayrollEcommerceCustomer serviceAdminOperationsDelivery
one system

Every part of the business in one system, built for how you actually work, instead of a dozen subscriptions bolted together, each holding a piece of your data and none of them talking properly to the others.

The capital cost is far lower than you'd expect. AI does a serious share of the development work, which is what has changed the economics. At the end of it you own the software outright rather than renting it forever.

What I do

Software consolidation

The tools you pay for separately, replaced by one system built around how you already work. CRM, operations, admin and reporting in one place, with one source of data, owned outright.

AI integration

AI added to the systems and workflows you already run. Voice agents that answer and follow up on enquiries around the clock, document processing, reporting and lead qualification.

AI advisory

An assessment of where AI will pay back in your business and where it won't, with a costed plan before anything gets built.

Deployment and adoption

Rollout, training and the commercial case, so the system gets used and the numbers move. Backed by twelve years in direct response marketing.

Twelve years selling. Sixteen years building.

The advice comes from both sides: knowing what moves revenue, and knowing what it takes to build and run the software behind it.

Commercial
12+ years
in direct response marketing, with millions in ad spend managed
50,000 customers
and £2m in sales at TotalLawn, inside 18 months
Millions
in additional revenue generated for clients
Technical
16 years
developing software
Dozens of projects
shipped into production.
Business Insider
42-under-42 list

Approved under Anthropic's Cyber Verification Program for dual-use security work: penetration testing, red teaming and bug bounty research.

  1. TotalLawn18 months

    50,000 customers, £2m in sales

    Grew TotalLawn to roughly 50,000 customers and £2m in sales in 18 months, including a B&Q listing and 250+ press features.

  2. Scotlandbuilt · scaled · sold

    Largest heating lead-gen site in Scotland

    Built and scaled the largest domestic heating lead generation site in Scotland, later sold.

  3. B2C lead generationlaw · accounting · insurance · medical

    Millions in client revenue

    Pioneered B2C lead generation across law firms, accountants, insurers and medical practices, driving millions in additional revenue for clients.

  4. Credentials

    MCIM and Google Ads certified

    Chartered Institute of Marketing (MCIM) and Google Ads certified.

How an engagement starts
  1. Fact-find call

    What the business does, where time and revenue leak, what already exists, and whether AI is the right answer at all.

  2. Scope and quote

    A defined build with a fixed price, not an open-ended retainer.

  3. Two weeks to v1

    Two weeks on average to a shipped, production-grade first version. Then we iterate on real usage.

Common questions

The things people ask first.

How do I know if my business needs AI?
Look at where your team's time goes. Repetitive, high-volume work is where AI earns its place: answering the same enquiries, qualifying leads, processing documents, pulling the same reports every week. If that's where the hours go, it will usually pay back, and you'll be able to measure it. Rare decisions, judgement calls you need to be able to audit, and problems a simple rule already solves are where it doesn't. Working out which you have is the first thing we do, and if the answer is that you don't need AI, I'll tell you.
What does consolidating into one system replace?
Whatever your business actually runs on. The shape follows the work, not a template. If you run delivery vehicles, it can include dispatch, route planning and vehicle tracking. If you are online-only, it can be full client management and record keeping. For a medical or therapy practice, it can hold treatment notes, consent and recall. For most businesses it covers the common ground first, CRM, accounting, HR, payroll, ecommerce, customer service, admin, operations and delivery, then adds the parts only your business needs. That is the difference between software built for you and a platform you bend yourself to fit.
How long does a first version take?
Two weeks on average to a shipped, production-grade first version. Then we iterate on real usage.
What does it cost?
A defined build with a fixed price, not an open-ended retainer. The capital cost is far lower than you'd expect, because AI does a serious share of the development work.
Do I own the software at the end?
Yes, outright, rather than renting it forever.
Will it work with the software we already use?
Usually, yes. AI integration works inside the systems and workflows you already run, so the tools your team knows stay put. Where consolidation makes more sense, the new system replaces those tools, and moving your existing data across is part of the build. What matters is whether your current software lets its data out, through an API or an export. Most modern tools do. If one doesn't, you'll know at the scope and quote stage, before anything is built.
Carlos Real
Manchester, UK

Tell me what you're trying to fix.

If you're deciding whether AI is worth it, or paying for too many tools that don't talk to each other, start here.

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