AI Accelerator

The ultimate AI Accelerator

Most AI pilots stall because nobody owns what happens next. This one moves a department into controlled production every quarter, and you commit one quarter at a time.

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OpenAI Select Partner

Why AI stalls, and what we do instead

Four patterns we see in almost every business that has already tried.

Without SpotDev

What we usually find

With SpotDev

What we build instead

Without SpotDev

The pilot never left the pilot

It worked in the demo. Nobody owned the next step, so it is still a demo eighteen months later.

With SpotDev

One department live each quarter

A named owner, a release date and an accepted result before the next wave starts.

Without SpotDev

Every request starts by explaining the account again

Your people paste the same background into a chat window all day because nothing shares it.

With SpotDev

Context prepared once, used everywhere

A layer built against your CRM records, so people and agents start from the same facts.

Without SpotDev

Nobody can say what the AI is allowed to do

So it either does nothing useful, or it does something nobody sanctioned.

With SpotDev

Authority set per action

Every action sits at a defined level, against a named human owner, agreed before build.

Without SpotDev

The manual work carries on regardless

The tool got bought. The rekeying, chasing and copying did not stop.

With SpotDev

Bounded work handled in your systems

Inside the CRM and finance stack you already run. No new platform to buy.

What the programme installs

Six things have to exist before AI does useful work in a business. We build them in this order.

A context layer your systems share

Prepared, approved business memory built against your CRM records, so nobody reconstructs the position from scratch on every request.

Detection of what needs attention

Structured findings with evidence, confidence and a named owner. An opportunity, a risk or a missing follow-up, not an unbounded summary.

Agents that do bounded work

Two production agents per quarter, scoped to real workflows, with the systems they may touch and the actions they may take written down.

Evidence that it worked

A baseline captured before we build, then adoption, quality, exceptions and commercial movement reported against it every month.

Training for the people who use it

One cohort per wave, trained on the workflow itself rather than on AI in general. Adoption is what decides whether any of this pays.

A support route when it breaks

Monitoring, incident response and rollback across everything already deployed, so quarter three does not quietly break quarter one.

The twelve months

  1. 01

    Q1. Foundation and AI for Sales

    Context and detection live in month one. Two sales agents in controlled use by month two. Sales goes first because early commercial gains have longest to compound.

  2. 02

    Q2. AI for Customer Success

    Service, retention and account growth, using the context layer already built. Sales keeps running and stays monitored.

  3. 03

    Q3. AI for Marketing

    Attribution engineering, grounded content systems and approval workflow. Everything deployed so far keeps running.

  4. 04

    Q4. AI for Business Operations

    Document intake, inbox triage and management information, with tighter controls on anything financial.

How much authority an agent gets

Autonomy is granted per action, not per agent. Most useful work sits permanently at draft or recommend, and that is the correct answer, not a limitation.

Read

Retrieve or summarise approved information. Nothing changes.

Draft

Prepare content or records for a person to review and send.

Recommend

Suggest a decision or next step. A human decides.

Act with approval

Execute only after an explicit sign-off, with logging and rollback.

Bounded autonomous

Low-risk tested actions inside rules that have earned it through evidence.

Restricted

Do not automate. Some decisions stay with a qualified person.

Pricing

One price, one quarter at a time. Enterprise programmes are priced on organisational and technical complexity.
  • AI Accelerator

    From £10,000 per month

    You get the full twelve-month plan. You commit to one quarter. Quarterly and annual prepayment cost less per month, and only the annual route commits the full year.

    • One department transformed per quarter
    • Two production agents per wave
    • Everything already deployed stays monitored and maintained
    • Baseline, measurement and a monthly review
    • Three-month minimum on monthly billing
    • Model and platform usage billed separately
  • Custom Programmes

    Priced to your needs

    Quick-fire accelerators, long-term transformations and everything in between. Work with SpotDev to design your custom AI accelerator.

    • Custom designed AI transformation programme
    • Expert AI specialists accredited by OpenAI
    • Agents built on your own infrastructure
    • OpenAI, Anthropic Claude, SpaceXAI and HubSpot AI options
    • Dedicated AI consultant
    • Expert AI engineers

Implementation expertise that drives adoption

An in-house engineering team that has delivered more than 300 technology projects. Work with engineers who have built this before.

300+HubSpot implementations, firm-wide
  • In-house engineering team.

    Agents and integrations designed, tested and shipped by our own engineers. Nothing is subcontracted.

  • OpenAI Select Partner and Claude Registered Partner

    SpotDev is an OpenAI Select Partner and a Claude Registered Partner, alongside HubSpot Diamond status and Custom Integration and Onboarding accreditations.

  • Model chosen for the job.

    Honest evaluation of the right model for the work. We will say when the answer is the AI you already pay for.

AI with security in mind

  • Not trained on by default
  • Cyber Essentials Plus
  • Built on your infrastructure
  • In-house engineers

Common questions

What does it cost?

From £10,000 per month, committed a quarter at a time. Quarterly and annual prepayment cost less per month. Enterprise programmes are priced on complexity. Model and platform usage is billed separately.

What happens if it does not work?

You stop at the end of the quarter. We capture a baseline before building, so the quarterly review is a comparison rather than an opinion. If the evidence does not support the next wave, we say so.

How is this different from buying one agent?

One agent solves one task and rebuilds its context every time. This installs the shared context, governance and measurement first, so the second and third agents cost less and work better than the first.

Will it replace people?

Bounded work moves to agents. Ownership of the workflow does not. Every consequential action keeps a named human approver, and workforce decisions are yours, not ours.

Who owns the work?

Ownership, reuse and handover are set out in the engagement terms. Everything you need to operate or transfer what we build is in the handover pack, including access, configuration and evidence.

What data do you need?

Less than people expect, and it must be approved rather than merely reachable. We map sources, permitted use and access in month one, and we tell you where your data is not good enough yet.

We already have ChatGPT, Copilot or HubSpot AI. Does that change anything?

Often it means you need less from us. Where an existing tool does the job we will tell you to use it. The value is connecting it to approved context, real workflows and evidence.

Which AI model do you use, and do we need HubSpot?

Whichever fits the workload, your estate and the risk. We are an OpenAI Select Partner and a Claude Registered Partner, and a HubSpot Diamond partner. HubSpot is not required unless the work depends on it.

Start with a diagnostic, not a build.

A short, fixed-scope assessment that shows where to invest first and the roadmap to get there. No guesswork, no obligation. Sometimes the answer is that you do not need us to build anything.