Generic AI gives a Generic response
Turn business data into action
When your AI understands how your business works and has access to real-time data, it can uncover opportunities and actionable insights humans simply miss.
“Why are sales flat at our second location even though foot traffic is up?”
GENERIC AI SERVICE
OFF-THE-SHELF
Flat sales despite higher footfall could come from lower average ticket, slower service, staff inexperience, menu mismatch, pricing, queue abandonment, or the wrong promotional mix.
Useful as broad input… but it does not know what is actually happening.
Connected to your data
FINDING
Footfall at the second location is 19% higher year-on-year, but average basket size is down 14%. The drop is concentrated between 11:00 and 13:30, when 41% of customers buy only a drink, versus 22% at the original location. Service time during that window averages 6 minutes from order to handoff, and 28% of customers in queue leave before ordering food. The food prep station was moved behind the counter during the May refit.
POS data
Staff rotas
Menu items
Queue times
Loyalty signups
Supplier orders
Neighbourhood footfall
Weather feeds
Reposition the pastry case to the front counter for grab-and-go visibility, add a lunch combo prompt at the till, and split the till and food queue during the 11–13:30 window.
GENERIC
Generic AI suggests reasons sales might be flat.
Custom AI sees the exact daypart, behaviour, and layout choice causing it, and what to change this week.
“Why are our heat pump installations running over time on residential jobs?”
GENERIC AI SERVICE
OFF-THE-SHELF
Installation overruns can come from weather, supply chain delays, technician skill mix, scope creep, customer site conditions, permit timing, or weak scheduling.
Useful as broad input… but it does not know what is actually happening.
Connected to your data
FINDING
Average install time on residential heat pump jobs is 11.4 hours against a planned 8: a 42% overrun. The overrun is concentrated on jobs surveyed before April, where the cylinder size specified no longer matches the new model line introduced on 2 April. Technicians are reworking pipework on 38% of those jobs and pulling adapters from van stock that was not replenished. Two postcodes also show repeat permit-related delays averaging 90 minutes per visit.
Job scheduling system
Technician timesheets
Site survey reports
Parts inventory
Van stock logs
Permit records
Supplier lead times
Vehicle GPS
Re-survey the pre-April backlog against the new cylinder spec, top up van kits with the three adapter parts now used most, and pre-file the permit form the day before each job in the two affected postcodes.
GENERIC
Generic AI lists reasons jobs run over.
Custom AI pinpoints which jobs, which parts, and which postcodes, and the prep work that fixes the overrun before the next visit.
“Why is performance down in the Nordics?”
GENERIC AI service
OFF-THE-SHELF
Performance differences can be caused by pricing, local competition, campaign execution, seasonality, stock availability, customer preferences, channel mix, or sales team focus.
Useful as broad input… but it does not know what is actually happening.
Connected to your data
FINDING
The category is 14% below forecast across the Nordics, but the issue is not consistent across all markets. Denmark is close to target. Sweden and Norway account for most of the gap. In both markets, campaign launch was delayed by one week, sales enablement material was opened by fewer than 35% of reps, and two priority SKUs had limited availability during the first campaign period.
Sales data
Campaign plans
Stock levels
CRM activity
Pricing changes
Competitor tracking
Market reports
Performance targets
Re-run the campaign in Sweden and Norway, prioritise the two affected SKUs once stock normalises, and send a short sales brief focused on the three objections most commonly logged in CRM.
GENERIC
Generic AI explains what might be wrong.
Custom AI shows where performance is breaking down, why it is happening, and what action should be taken first.
“Why do customers abandon their basket before checkout?”
GENERIC AI service
OFF-THE-SHELF
It could be due to shipping costs, lack of trust, a complicated checkout, unclear return policies, slow site speed, missing payment options, or weak product information.
Useful as broad input… but it does not know what is actually happening.
Connected to your data
FINDING
Basket abandonment is 22% higher than usual. The increase is concentrated on orders containing fragile products over 8 kg. These customers reach checkout, see a higher delivery fee, then leave. Support messages from the same period mention uncertainty about delivery handling and breakage.
Webshop analytics
Product data
Checkout behaviour
Support messages
Ad campaigns
Stock levels
Delivery rules
Purchase patterns
Add delivery reassurance on relevant product pages, show estimated shipping earlier in the journey, and test a free-delivery threshold for baskets above 750 DKK.
GENERIC
Generic AI gives common reasons.
Custom AI connects behaviour, products, pricing, support signals, and checkout data — then points to the most likely commercial fix.
“Why are housing support enquiry response times increasing?”
GENERIC AI service
OFF-THE-SHELF
Delays can be caused by high enquiry volume, limited staffing, unclear application requirements, seasonal demand, complex cases, or inefficient internal processes.
Useful as broad input… but it does not know what is actually happening.
Connected to your data
FINDING
Response times are 27% higher than the monthly average. The increase is mainly linked to housing support applications missing income documentation. These cases require manual follow-up and currently account for 41% of delayed enquiries. The delay started after the updated application form went live on 3 May.
Case data
Enquiry logs
Staffing levels
Application types
Policy changes
Internal guidelines
Historic patterns
Add clearer documentation prompts to the form, create an automated follow-up message for missing income files, and prioritise triage for incomplete applications each morning.
GENERIC
Generic AI lists possible explanations
Custom AI identifies the likely bottleneck and suggests the next operational move based on the institution’s own data.
Why it’s different
Custom built around your business, your data, and the way you work.
Connected to your data
We tap into your systems databases, so answers are always grounded in what’s happening right now.
Understands your business
Our AI is trained to understand how your business works – locations, operations, customers, and goals.
Business focused
We don’t just explain what’s happening, we tell you what to do next, and why it will make a difference.
Cross-signal analysis
We analyse patterns across multiple data sources to uncover insights that are often overlooked in day-to-day operations.
Explains the “Why”
Every recommendation comes with a clear explanation so your team can trust and act with confidence.
Learns and improves
The more you use it, the smarter it gets -continuously learning from your data and feedback.
Comparison table
AI Services
You rent access
Built for the average user
Vendor-controlled
Pricing can change overnight
Data handled on their terms
Supports simple tasks
Costs more as usage grows
Stops when you stop paying
VS
FIT
CONTROL
STABILITY
SECURITY
IMPACT
GROWTH
VALUE
Your AI
You build a proprietary asset
Built around your business
You own and decide
Protected from price hikes
You control your data
Reduces delays and errors
Compounds in value
Creates value over time
Pricing
per-seat license
ChatGPT Business
≈ €20 / user / month
monthly running cost
€200
/ month
per year
€2,400
over 3 years
€7,200
Off-the-shelf assistant
No knowledge of your data, voice, or workflows
Cost grows linearly with every new hire
Vendor owns the roadmap and the lock-in
per-seat add-on
Microsoft 365 Copilot
≈ €30 / user / month
monthly running cost
€300
/ month
per year
€3,600
over 3 years
€10,800
Plugged into the Microsoft 365 surface
Generic answers in your Office tools
Requires existing M365 licences
Per-seat cost compounds every year
flat operating cost
a-round custom system
No subscription paid to us
monthly running cost
€70
/ month
per year
€840
over 3 years
€2,520
Trained on your data, voice, and workflows
Cost barely moves whether you have 100 or 500 users
You own the prompts, the model setup, the IP
No vendor lock-in, model and host stay swappable
per-seat license
ChatGPT Business
≈ €20 / user / month
monthly running cost
€500
/ month
per year
€6,000
over 3 years
€18,000
Off-the-shelf assistant
No knowledge of your data, voice, or workflows
Cost grows linearly with every new hire
Vendor owns the roadmap and the lock-in
per-seat add-on
Microsoft 365 Copilot
≈ €30 / user / month
monthly running cost
€750
/ month
per year
€9,000
over 3 years
€27,000
Plugged into the Microsoft 365 surface
Generic answers in your Office tools
Requires existing M365 licences
Per-seat cost compounds every year
flat operating cost
a-round custom system
No subscription paid to us
monthly running cost
€100
/ month
per year
€1,200
over 3 years
€3,600
Trained on your data, voice, and workflows
Cost barely moves whether you have 100 or 500 users
You own the prompts, the model setup, the IP
No vendor lock-in, model and host stay swappable
per-seat license
ChatGPT Enterprise
≈ €20 / user / month
monthly running cost
€1,000
/ month
per year
€12,000
over 3 years
€36,000
Off-the-shelf assistant
No knowledge of your data, voice, or workflows
Cost grows linearly with every new hire
Vendor owns the roadmap and the lock-in
per-seat add-on
Microsoft 365 Copilot
≈ $30 / user / month
monthly running cost
€1,500
/ month
per year
€18,000
over 3 years
€54,000
Plugged into the Microsoft 365 surface
Generic answers in your Office tools
Requires existing M365 licences
Per-seat cost compounds every year
flat operating cost
a-round custom system
No subscription paid to us
monthly running cost
€150
/ month
per year
€1,800
over 3 years
€5,400
Trained on your data, voice, and workflows
Cost barely moves whether you have 100 or 500 users
You own the prompts, the model setup, the IP
No vendor lock-in, model and host stay swappable
per-seat license
ChatGPT Enterprise
≈ €60 / user / month
monthly running cost
€9,000
/ month
per year
€108,000
over 3 years
€324,000
Off-the-shelf assistant
No knowledge of your data, voice, or workflows
Cost grows linearly with every new hire
Vendor owns the roadmap and the lock-in
per-seat add-on
Microsoft 365 Copilot
≈ €30 / user / month
monthly running cost
€4,500
/ month
per year
€54,000
over 3 years
€162,000
Plugged into the Microsoft 365 surface
Generic answers in your Office tools
Requires existing M365 licences
Per-seat cost compounds every year
flat operating cost
a-round custom system
No subscription paid to us
monthly running cost
€450
/ month
per year
€5,400
over 3 years
€16,200
Trained on your data, voice, and workflows
Cost barely moves whether you have 100 or 500 users
You own the prompts, the model setup, the IP
No vendor lock-in, model and host stay swappable
per-seat license
ChatGPT Enterprise
≈ €60 / user / month
monthly running cost
€15,000
/ month
per year
€180,000
over 3 years
€540,000
Off-the-shelf assistant
No knowledge of your data, voice, or workflows
Cost grows linearly with every new hire
Vendor owns the roadmap and the lock-in
per-seat add-on
Microsoft 365 Copilot
≈ €30 / user / month
monthly running cost
€7,500
/ month
per year
€90,000
over 3 years
€270,000
Plugged into the Microsoft 365 surface
Generic answers in your Office tools
Requires existing M365 licences
Per-seat cost compounds every year
flat operating cost
a-round custom system
No subscription paid to us
monthly running cost
€750
/ month
per year
€9,000
over 3 years
€27,000
Trained on your data, voice, and workflows
Cost barely moves whether you have 100 or 500 users
You own the prompts, the model setup, the IP
No vendor lock-in, model and host stay swappable
per-seat license
ChatGPT Enterprise
≈ €60 / user / month
monthly running cost
€30,000
/ month
per year
€360,000
over 3 years
€1,080,000
Off-the-shelf assistant
No knowledge of your data, voice, or workflows
Cost grows linearly with every new hire
Vendor owns the roadmap and the lock-in
per-seat add-on
Microsoft 365 Copilot
≈ $30 / user / month
monthly running cost
€15,000
/ month
per year
€180,000
over 3 years
€540,000
Plugged into the Microsoft 365 surface
Generic answers in your Office tools
Requires existing M365 licences
Per-seat cost compounds every year
flat operating cost
a-round custom system
No subscription paid to us
monthly running cost
€1,500
/ month
per year
€18,000
over 3 years
€54,000
Trained on your data, voice, and workflows
Cost barely moves whether you have 100 or 500 users
You own the prompts, the model setup, the IP
No vendor lock-in, model and host stay swappable
useful systems
Less AI theatre.
More useful systems.
Practical tools built for the work your teams actually repeat, refine, and rely on.
AI content systems
A content engine that already knows your positioning, your proof points, and the way your brand actually speaks. Ideas don’t start from a blank page anymore.
Brief → first draft in your voice
One campaign repurposed across channels
Variant testing without losing the tone
We’ve built versions of this for retail, services, public sector, and B2B. →
Sales support & lead qualification
Sales reps walk into every call already briefed. Leads are qualified before they hit the calendar. The follow-up email is half-written by the time the meeting ends.
Pre-call briefs from CRM + public signals
One campaign repurposed across channels
Variant testing without losing the tone
We’ve built versions of this for retail, services, public sector, and B2B. →
Customer support assistants
Drafts replies from your real policies, products, and service standards — then hands the edge cases to humans with full context attached. Your team stops re-typing the same answer.
First-draft replies grounded in your policies
Escalations routed with the full thread
Tone matches your brand, not the model’s
We’ve built versions of this for retail, services, public sector, and B2B. →
Performance analytics
Production figures, sales data, conversion rates — pulled on request, compared against your own baselines and the market standard, and explained in plain language. The why under the dashboard, on demand.
This week’s output vs last quarter’s run-rate
Your margin vs sector benchmark
Anomalies flagged with the likely cause
We’ve built versions of this for retail, services, public sector, and B2B. →
Internal knowledge assistants
Documents, meetings, and scattered know-how become a single place to ask. Sourced, traceable answers from the version of the truth that’s actually current.
First-draft replies grounded in your policies
Escalations routed with the full thread
Tone matches your brand, not the model’s
We’ve built versions of this for retail, services, public sector, and B2B. →
Brand voice & campaign assistants
An assistant that knows the difference between on-brand and average. Trained on your guidelines, your past work, and the calls you actually make about edge cases.
Drafts that sound like you wrote them
Catches off-brand phrasing before it ships
Three variants, same voice, different angle
We’ve built versions of this for retail, services, public sector, and B2B. →
Proposal & documentation tools
Generate a strong first draft from your services, your pricing logic, your case studies, and the customer’s brief. Sales spends time on the 20% that wins, not the 80% that’s boilerplate.
Tailored proposal in minutes
Pricing logic baked in
References last quarter’s wins automatically
We’ve built versions of this for retail, services, public sector, and B2B. →
Insight extraction
Pull practical signals out of documents, customer messages, meeting notes, and old archives. The findings nobody had time to surface are the ones that move the needle.
Patterns across hundreds of support tickets
Themes from a year of customer interviews
Decisions buried in old meeting notes
We’ve built versions of this for retail, services, public sector, and B2B. →
Workflow automation
The handoffs, approvals, and copy-pastes that live between your tools — gone. AI handles the routine path. Humans only see what genuinely needs their judgment.
Inbound request → routed, tagged, drafted
Approvals batched with full context
Edge cases flagged for a human
We’ve built versions of this for retail, services, public sector, and B2B. →
START WHERE THE LEVERAGE IS
Your business isn’t generic.
So why is your AI?
Most companies are using the same tools, the same prompts, and the same recycled answers. At a-round, we build AI around your business. Your data, your voice, your workflows, your customers, and your way of working.