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AI Integration & Automation

Whatever AI means for your business, we design it, build it, and make sure your team actually uses it. One team from strategy to deployment. No handoffs.

  • 38hours of manual work removed each week, professional services
  • +44%pipeline conversion with an AI lead agent, B2B SaaS
  • 68%of support tickets resolved automatically, e-commerce

You've already tried AI. It probably didn't stick.

A chatbot was built. A tool was bought. An automation was configured. An agency ran a pilot. Six months later, the team is still doing the same work the same way.

You are not alone. AI projects rarely fail because of the technology. They stall because nobody redesigned how the work actually happens before the technology arrived.

Most agencies sell you the tool. We start with the work.

The usual way Tool first

  1. Buy a tool
  2. Run a pilot
  3. Hand it to the team
  4. Nobody uses it

The Primewise way Work first

  1. Map the real work
  2. Redesign it with your team
  3. Build and test
  4. Your team uses it

What it means, in plain English

These terms get used interchangeably, and the confusion costs businesses time and money before a single line of code is written.

AI integration

Connecting AI to the systems, data and workflows you already have, so it works on your real business data instead of sitting in a separate tool.

Without integration, AI gives answers in isolation. With it, AI acts on real data and produces real outcomes.

AI workflow automation

Replacing manual, repetitive steps with processes that run themselves: fewer errors, no copying between systems, and time back for work that needs a person.

Unlike simple rules, AI workflows cope with messy inputs, make decisions in context and improve over time.

AI agents

Systems that carry out a defined task from start to finish: qualifying a lead, processing a document, triaging a ticket, checking compliance.

Every agent has limits on what it may decide, a person on the higher-risk calls, and monitoring that tells you when it needs attention.

What does your business actually need? It depends on where you are. Most firms need a combination, built in the right order. That is exactly what we work out first, before recommending anything.

Start with the AI audit

Built for businesses ready to move from experiments to results

If two or more of these sound familiar, we should talk.

  • You have run AI pilots that never reached production.
  • Your team spends hours every week on manual, repetitive work that should be automated.
  • You have bought AI tools that do not connect to anything and are not paying for themselves.
  • The board wants AI results and there is nothing measurable to point to yet.
  • You want one partner who understands the commercial problem and builds the solution, without handing you off halfway.
  • You are worried your team will not adopt whatever gets built.

We build AI automation and integration for

RecruitmentProfessional servicesFinance and fintechLawSaaSE-commerce and D2CReal estateConstructionMarketingCustomer supportEnterprise IT

Not listed? If manual work is slowing your team down, we can probably help.

What we build

Every engagement has a defined scope, a clear timeline and measurable outcomes agreed before we start. No open-ended retainers without deliverables.

01

AI Audit and Working Prototype

The right starting point for most businesses

Before recommending anything, we map how your business actually works. We find your highest-value AI opportunities and build an honest business case for each, including the ones that are not worth pursuing.

You leave with a prioritised roadmap, the payback for each idea, and one working prototype on your own sample data.

Time10 working daysPrice£1,500 fixedYou keepeverything we produce

See what the audit includes

02

AI workflow automation

End-to-end automation of your most expensive manual processes

We redesign how the work gets done before we build anything: where AI takes over, where people stay in control, and what the handoffs look like. Then our technical team builds it.

CRM, email, finance, operations and customer support, connected into one pipeline that ends manual data entry. Every workflow is tested before it touches your live operation.

Time4 to 8 weeksBuilt onMake, Zapier, n8n, custom APIs, your stack

03

AI integration for business systems

Connecting your data so AI can actually act on it

Disconnected data is the most common reason AI projects fail. If your CRM, ERP, marketing platform and finance system do not talk to each other, your AI is working blind.

We connect the systems you already have, so AI has full context, your reporting finally agrees with itself, and automated decisions are based on all of your data rather than a slice of it.

Works withCRM, ERP, finance, marketing and support tools

04

Custom AI agents

Systems that carry out complex tasks from start to finish

We build AI agents for specific, well-defined jobs: lead qualification, document processing, support triage, compliance checks, data extraction and reporting.

These are not chatbots. They are working systems connected to your real data, with a defined scope of authority, a person on the higher-risk decisions, and monitoring that tells you when they need attention.

Time4 to 8 weeksScopeagreed in writing before the build

05

Custom AI trained on your data

AI that knows your business

AI that works from your own documents, processes, customer history and product data, so it answers with your information instead of guesses from general training data.

Especially valuable in regulated sectors, where a generic AI answer carries legal or compliance risk. Your data stays in your controlled environment and is never used to train public models.

Best forregulated firms and knowledge-heavy teams

Included in every engagement, never sold as an extra

A team working together at their computers
People adopt systems they helped design.
Adoption and change management

Your team owns what we build, completely, when we leave

Most AI failures come down to adoption, not technology. So team training, adoption support, internal communication, full documentation and a defined support period after launch are part of every project.

We involve your team in the design before writing a line of code. People resist systems that appeared one morning and changed how they work.

Data security, non-negotiable

Your sensitive data stays in your controlled environment

It is never used to train public AI models, and never shared outside audited, contractually controlled integrations. For financial services, legal and healthcare clients this is the first conversation, not a footnote.

From first conversation to working system

From audit to a deployed system typically takes 6 to 12 weeks, depending on scope. Nothing goes live without your sign-off.

  1. Audit and discovery

    We map your workflows, data, systems and team, and find exactly where time is lost and where AI can genuinely help. Findings in writing before any next step.

  2. Workflow redesign

    We design the new way of working before the technology: where AI takes over, where people stay in control. You approve every blueprint before the build begins.

  3. Build and deploy

    We write the integrations, build the agents, connect the data and test everything before it touches your live operation. Weekly written updates.

  4. Training and handover

    We train your team, document everything and support you for a defined period. You own the system, the documentation and the know-how.

Fixed price

You know the cost before we start.

You work with the builders

Senior people on every project, no handoff to juniors after the sale.

You own it

The code, the documentation and the data are yours.

Results from client work

Three projects, three different problems. In each one, the team was involved in the design before anything was built.

Professional services, London

Document processing across four departments

The firm spent 40+ hours a week processing, categorising and routing incoming documents by hand. We redesigned the workflow with the team, then built and deployed the full automation pipeline.

38hours of manual work removed every week

97%processing accuracy, full payback in 6 weeks

B2B SaaS

An AI agent that qualifies inbound leads

The sales team spent 60% of its time qualifying leads that were never going to convert. We connected their CRM to a custom qualification agent, with clear points where a person decides.

85%of sales time now on qualified leads, up from 40%

+44%pipeline conversion, with no pushback from the team

E-commerce, global

First-line customer support, automated

800+ support tickets a week, and a team worried about being replaced. We ran the change process alongside the build, so the support team designed the system they hand work to.

68%of tickets resolved without a person

−55%cost per ticket, and higher team satisfaction

What our clients say

★★★★★

“We'd run two AI pilots before Primewise. Both produced systems nobody used. Primewise redesigned how our team worked first, and the system came second. That order matters.”
COO, professional services firm, London

★★★★★

“They told us in week one that two of our three automation ideas were not worth building. That honesty is the reason we trusted them with the third. It delivered 44% better pipeline conversion.”
VP Sales, B2B SaaS company

★★★★★

“Our team was resistant to AI. Primewise involved them in the design before writing a single line of code. Adoption was immediate. That had never happened to us before.”
Operations Director, global e-commerce group
A team at work around shared desks

Commercial operators and builders, in one team

The combination most businesses cannot find: people who understand your P&L, and a technical team that builds production-ready AI systems, in the same project with the same accountability.

We have scaled a business past a million users. We understand board pressure, investor timelines, and the human dynamics that decide whether an AI project becomes a case study or a cautionary tale.

  • Senior attention on every project, no handoff to juniors
  • We tell you plainly when AI is not the answer
  • Based in London, working across the UK, Europe, MENA and beyond

What it costs

Ranges, not quotes. Your price is fixed in writing before any work starts, and every project has a scope agreed before any cost is committed.

Ask for a fixed quote
AI Audit and Working Prototype£1,500£750 for the first five founding clients
One workflow or one agent£3,000 to £6,000
System for one team or department£8,000 to £18,000
Custom application or multi-system integration£15,000 to £40,000+
Care plan after launch£350 to £750 a month
Managed automation£1,200 to £2,500 a month

Your questions answered

Something else on your mind? Ask us directly

What is AI integration in business?

Connecting AI (language models, agents, intelligent automation and prediction) to a company's existing systems and workflows, so it works on real business data instead of being a separate tool that needs manual input.

What is AI automation for businesses?

Workflows that handle repetitive, rule-based and data-heavy tasks without a person, so your team can focus on the work that needs judgement. Unlike traditional automation, it copes with variable inputs and improves over time.

How much does AI automation and integration cost?

The AI Audit and Working Prototype is £1,500 fixed. One workflow or agent is typically £3,000 to £6,000, a system for a whole team £8,000 to £18,000, and custom or multi-system work £15,000 to £40,000+. Every project has a fixed scope and price agreed before any cost is committed.

How does a project work, and how long does it take?

We start with an audit of your workflows, redesign the ones worth automating, then build, deploy and train your team, who own the result. From audit to deployed system typically takes 6 to 12 weeks, depending on scope.

Do we need to replace our existing systems?

Almost never. We build around your current CRM, ERP, marketing, finance and support tools. If a tool is a genuine constraint, we will tell you honestly and help you decide.

What if our team is resistant to AI?

It is the right question to ask before any AI project. We involve your team in the workflow redesign before writing a line of code. People adopt systems they helped design.

Is AI automation suitable for small businesses?

Yes. Enquiries, lead qualification, documents and scheduling take a disproportionate share of a small team's time. Automating them gives a small team the reach of a much larger one, without the headcount.

What is the difference between an AI automation agency and an AI integration consultant?

An automation agency usually builds workflows with off-the-shelf tools. An integration consultant connects AI to your existing data and systems. Most businesses need both, so we do both: automation without integration hits a ceiling, and integration without automation leaves value on the table.

Do you only work with businesses in London?

No. We are based in London and work with clients across the UK, Europe, MENA and beyond. Everything can be done remotely, and we travel when it adds real value.

Is AI integration and automation right for our business?

Not necessarily. Our first conversation is about whether it makes commercial sense for you, not about selling a system you do not need. If AI is not the right answer, we will say so.

Let's find out what AI should actually do in your business

Automation, integration, agents, workflow redesign, AI trained on your data, or a combination. The right answer depends on where you are. The first step is a 30-minute conversation, no slides.

contact@primewise.co.ukWhatsApp +44 7475 294502We respond within 24 hours.

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