At GMT Consulting, we specialize in crafting Social Media and AI strategic solutions to propel your business forward. Our tailored strategies are designed to fuel growth, connect with your customers and drive success.
At GMT AI / Social Consulting, we are dedicated to helping businesses navigate complex challenges and seize opportunities. Our team of experts is committed to delivering impactful strategies that yield tangible results.
Selected work
Two platforms built to the approach described on this site. Client names are withheld while the engagements are live; both builds can be walked through privately on request.
Sports media property
A podcast network with roughly 1.5 million subscribers and no list of its own
Distribution across a major streaming service, a large video channel and a weekly live show, with every one of those platforms keeping the viewer data. The company could not name a single member of its own audience, and went into every renewal and sponsor conversation without evidence of who was actually watching.
What was built
A fan database with a weekly vote as the registration ask, personalised email, member tiers, a merch layer over the existing store, an admin desk and three scheduled reports.
Draft build with synthetic sample data, prepared as a proposal. Figures illustrative.
Creator-led consumer brand
A founder with millions of followers and a sold-out product launch she could not repeat on demand
An enormous social following, a skincare company that sold out on day one, and no way to reach the buyers again except by posting and hoping. The next launch would have started from zero for the second time.
What was built
A fan platform in five languages, a personalised weekly newsletter assembled per reader, membership tiers, pop-up and event capture, and an analytics view covering the whole audience.
Why it matters commercially
Every future launch opens to a warm list instead of an advertising budget.
Concept build with synthetic sample data, unaffiliated and prepared speculatively.
Start with the audit, not the contract
Before anyone talks about building anything, we run a short review of what your audience actually is and what you can currently see of it. It takes about a week, and the findings are yours regardless of what happens next.
No cost, no obligation, and no sales deck at the end of it.
Where your audience actually lives. Platform by platform, including how much of your following each one is really showing your posts to.
What you can and cannot see. Which data each platform keeps from you, and what that costs you in practice.
The size of the gap. How many people engage with you versus how many you could contact tomorrow without paying.
What a first-party layer would be worth. Ranked by revenue, negotiating position and resilience, specific to your situation.
The cheapest first step. Usually smaller than expected, and occasionally the answer is that you do not need us yet.
How engagements are shaped
Every project is quoted on its own scope, so there is no price list here. What is consistent is the shape, and it is worth knowing before you get in touch.
Starting point
A fixed-scope audit
About a week, priced as a small fixed fee or waived where the fit is obvious. It exists so that both sides can judge the work before committing to a build.
The core build
Roughly six to eight weeks
Fixed scope and fixed fee, delivered in stages that go live as they are finished rather than in one launch at the end.
After launch
A monthly retainer, optional
We operate, report and keep building while it is useful. Month to month, cancellable, and structured so that leaving is straightforward.
Always
You own the asset
Every account, domain, dataset and line of code is registered to your company from day one. There is no scenario in which ending the relationship costs you the platform.
How We Work
Four phases, in order, each one earning the next. We build early and small rather than planning at length, because real behaviour on a live system tells you more than any discovery document. You keep everything produced at every stage, whether or not you carry on to the one after it.
Phase One: Find the gap
Phase Two: Build the foundation
Phase Three: Turn on the loop
Phase Four: Grow from evidence
GMT Engagement Model
Phase 4 – Grow from evidence →
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Phase 3 – Turn on the loop →
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Phase 2 – Build the foundation →
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Phase 1 – Find the gap →
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Phase one · short
Find the gap
A focused review of where your audience actually lives, what you can already see about the people in it, and what a first-party layer would be worth to you specifically. We look at the platforms you rely on, what data each one withholds, and which parts of your business would change if you could reach those people directly.
You leave with: the findings, a ranked list of gaps, and a scoped recommendation. Yours to keep whether or not we build anything.
Phase two · the core build
Build the foundation
The database and the public site go live together and start capturing from day one. Deliberately early, and deliberately before the clever parts, because the shape of what comes next should be set by real behaviour rather than by assumptions made in advance.
You leave with: a live site, a fan record that fills itself, and every account registered to your company.
Phase three · the revenue lines
Turn on the loop
Email, membership, commerce and events connect to the same record, so an order, an RSVP and an email open all land on one person rather than in four disconnected tools. The admin view and the first scheduled reports arrive alongside them.
You leave with: personalised email going out, the admin desk in use, and reports arriving on a schedule.
Phase four · ongoing
Grow from evidence
Priorities come from what the first months actually show, not from a roadmap written before launch. Segments sharpen, reporting gets sold into partner conversations, and the next build is chosen because the data pointed at it. We operate it for as long as that helps, or hand it over.
You leave with: a system your own team can run, and the option to take it in-house at any point.
Phases one and two are typically where an engagement starts. Nothing in phase three or four is committed to before the foundation is live and producing data worth acting on.
AI Agents
Software that does the work, not just the writing.
A chatbot answers a question. An agent is given an objective, works out the steps, uses the systems it has been granted access to, checks its own output, and comes back with the job done or a clear reason it stopped. The difference matters because one saves you typing and the other takes a process off your desk.
24/7processes that run whether or not anyone is at a desk
Minutesfor work that used to wait for the right person to be free
Every runlogged, reviewable and reversible
Your datastays in your systems, under your access rules
How they actually work
The loop, not the answer
Older automation followed a fixed script and broke the moment reality differed from it. An agent runs a loop instead: understand the goal, decide the next step, take it, look at what came back, and adjust. That loop is what lets it handle the messy middle of a real process rather than only the happy path.
The agent loop
Repeats until the objective is met or a stop condition is hit.
What it is allowed to touch
Capability is granted deliberately, one connection at a time. Nothing is assumed.
The decision that matters
How much rope to give it
Almost every failed agent project skipped a rung. The right level is chosen per task, not per company, and it moves up only once the logs show the level below it was reliable. Most valuable work in a business sits on the middle two rungs and stays there quite happily.
01
AssistPerson does the work
It retrieves, summarises and suggests. A person decides everything. Useful, low risk, and rarely worth building a project around on its own.
02
DraftPerson edits and sends
It produces the finished artefact: the reply, the report, the weekly email, the campaign recap, already filled with the right figures. A person adds judgement and approves. This is where most of the hours are recovered.
03
Act with approvalPerson holds the gate
It carries out the whole process and pauses at the one step that carries consequence, waiting for a yes. Everything either side of that gate is hands-off.
04
Act within limitsPerson sets the rules, reviews the log
Fully autonomous inside a boundary you define: which actions, what value, how often, and when to escalate. Suited to high-volume, low-variance work that is cheap to reverse.
05
Coordinate other agentsPerson owns the outcome
One agent breaks a large objective into parts and hands them to specialised ones. Powerful, and the level where cost and failure modes stop being obvious. We reach for it last, not first.
Levels are chosen task by task. A business commonly runs several at once, and moving a task up a rung is a decision backed by its own run history.
Where it pays
Not everything should be an agent
The honest filter is two questions: how often does this happen, and how much judgement does it need. Frequent work with a clear definition of done is where agents earn their keep. Rare, high-judgement work stays with people, and paying to automate it is how these projects lose money.
The fit map
Illustrative. Each dot is a type of task, placed by how often it recurs and how much judgement it carries.
Where the hours go, before and after
Illustrative shape of a typical week on one process. The work does not vanish; the shape of it changes.
What stops it going wrong
Autonomy is only safe when it is observable
An agent you cannot inspect is a liability regardless of how well it performs on a good day. Every build we put into production carries the same five controls, and they are the part of the work clients notice least and benefit from most.
Control 01
Grounded in your data
Answers are drawn from your own records and documents, with the source attached. When the information is not there, the correct output is to say so rather than to invent something plausible.
Control 02
Scoped access
Each agent gets the narrowest set of permissions that lets it finish its job. It cannot reach systems it was never granted, and credentials are never shared between tasks.
Control 03
A gate on consequence
Anything that spends money, contacts a customer, or cannot be undone waits for a person. Reversible steps run freely, which is what keeps the gate rare enough to respect.
Control 04
A readable log
Every run records what was asked, what it did, what it saw and what it produced. When something looks wrong you can follow the reasoning rather than guess at it.
Control 05
Tested against real cases
Performance is measured on a set of your own past examples with known right answers, before launch and continuously after. Quality is a number you can watch, not a feeling.
And
A stop button
Any agent can be paused instantly without taking down the process around it. The work falls back to the people who did it before, which is why nothing is ever fully staked on the agent.
What the team sees
Agents you can manage like staff
Running agents without reporting is how the savings quietly disappear. The console shows what ran, what it cost, where it stopped and whether quality is holding, so the decision to give a task more autonomy is made on evidence.
Operations view
Illustrative sample. Every figure here is generated for the example.
An agent that nobody is measuring is not an efficiency. It is an unsupervised employee with your credentials.
Where we start
One process, proven, then the next
We do not begin with a platform. We begin with a single process that is costing real hours, put an agent on it at the lowest sensible level of autonomy, and measure it against how the work was done before. If it does not hold up, you have lost weeks rather than a year.
Step one
Find the repetitive hours
A short look at where time goes and which of it is frequent, well defined and reversible. You keep the shortlist whether or not we build from it.
Step two
Build one, at draft level
The first agent produces finished work for a person to approve. Low risk, immediately useful, and it generates the run history that everything after it depends on.
Step three
Earn more autonomy
Once the logs show it is right consistently, the gate moves. The task steps up a rung because the evidence supports it, not because the technology allows it.
This page describes our approach at a high level. Architecture, model selection, evaluation design and commercial terms are covered in a scoped proposal.
About GMT Consulting
Meet GMT
Audience platforms, AI and analytics
We build the layer underneath the marketing
GMT Consulting builds the systems that turn an audience you rent from social platforms into one you own. A first-party database at the centre, a website that reads from it in real time, personalised email, an admin desk for the people running it, and the analytics that prove what the audience is worth. Social media and AI strategy sit on top of that foundation rather than standing in for it.
How we work
Find the gap first. A short review of where your audience actually lives, what you can already see about them, and what a first-party layer would be worth. You keep the findings whether or not we build anything.
Build the foundation early. The database and the public site go live together and start capturing from day one, so real behaviour shapes everything that follows instead of a roadmap written in advance.
Turn on the loop. Email, membership, commerce and events connect to the same record. The admin view and the first scheduled reports arrive with them.
Grow from evidence. Priorities come from what the first months show. We operate it for as long as it helps, or hand it over.
What we commit to
You own everything. Every account, domain, dataset and line of code is registered to your company from day one. GMT builds and operates as an administrator, never the owner.
Standard, portable technology. Widely used tools that another team could take over without a rewrite. Nothing rented, nothing locked in.
Consent first. Permission captured and timestamped for every channel, opt-outs honoured everywhere, and aggregates shared with partners rather than individuals.
If you have real social numbers and no way to reach the people behind them, that is the problem we solve. See what we build →
Our Approach to Business Strategy
Most engagements start in the same place: the content is working and the numbers look healthy, but nobody can say who the audience is or reach them without paying for it again. We start by finding where the value is leaking, build the smallest thing that stops it, and let the evidence set what comes next. No long discovery phase, no strategy deck that ends at the recommendation.
We work with brands, creators and media properties that are too small to be served economically by enterprise platforms and too established to be guessing. That is a segment the big vendors skip, and it is the one we are built for.
Contact us at: info@gmtstrategies.com
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For any inquiries or to discuss your Social Media or AI Strategy needs, please reach out to us at info@gmtstrategies.com or by filling out the form below.
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