AI & Automation
The work that eats your team’s hours runs itself.
We advise, then we build. Lightspeed Solutions designs AI systems that know your business and run it, on your hardware, in the cloud, or split across both.
Context
- 89%
- of small businesses already use AI in some form
- $7.8B
- projected AI operating system market by 2034
- 3
- deployment models: local, cloud, hybrid
Market figures: AI operating system category, 2025 baseline $3.2B.
01 Services
What we build
Six offers, one method. We find where AI pays off in your business, then we build the thing that collects it.
- 01
AI operating systems
One system that knows the business and runs it. Shared memory, shared integrations and shared logic, so every workflow reaches the same knowledge.
Flagship - 02
AI audits
We find where AI pays off in your business, and what it is worth. You get a ranked list of opportunities with an estimated value against each one.
Advisory - 03
GEO audits
We measure how visible you are when a customer asks an AI assistant about your industry. Then we fix the reasons you are not being cited.
Visibility - 04
Process automation
Your repetitive workflows run without anyone touching them. A machine runs the handoffs that sit in someone’s inbox today.
Operations - 05
Omni-channel chatbots
One assistant answers your customers on social, web and messaging. It shares a single knowledge base, so the answer is the same wherever the question arrives.
Customer - 06
24/7 voice secretaries
A voice agent picks up at 3am, qualifies the caller and books the slot. Calls that used to go to voicemail turn into appointments in your calendar.
Voice
02 The flagship
One system that knows your business
Most businesses own a scatter of AI tools that share nothing: a chatbot here, an automation there, someone pasting into ChatGPT. Every interaction restarts from zero, and the person doing the pasting is the integration layer.
An AI operating system replaces that with shared memory, shared integrations and shared logic. A build touches all five layers.
- 01
Knowledge and memory
Business context in a form the AI retrieves: documents, past conversations, processes, pricing logic. A vector store plus live reads from your CRM or database.
- 02
Models
A cheap fast model routes and classifies. A strong model writes and reasons. Matching the model to the task is where cost control lives.
- 03
Integrations
The AI reads the CRM before it drafts, files the task after the meeting, updates the sheet when the order lands. Reasoning without reach is half a product.
- 04
Workflows and agents
Triggers, sequences and decisions. An agent adapts where a workflow only executes.
- 05
Governance
Who edits workflows, what data the AI touches, what gets reviewed before a customer sees it, and what happens when it breaks. Early builds underbuild this layer and pay for it later.
Knowledge stops walking out the door
When someone leaves, what they knew stays in the system.
It gets better with age
Six months of logged decisions and edge cases is six months of training material.
03 Deployment
You decide where your data lives
The same system ships three ways. Your data constraints decide which one you pick.
-
Local
Everything runs on your own machines.
Messages, knowledge, embeddings and inference stay on your hardware. That is the simplest GDPR posture available: no processor, no transfer, no DPA. It costs speed, and the system runs only while the machine is on.
-
Cloud
An agent on an EU server, running around the clock.
You reach it from anywhere, with no machine to leave switched on. It needs an EU-resident host and a data processing agreement, because the model provider becomes a subprocessor the moment personal data reaches it.
-
Hybrid
Sensitive data stays home, everything else goes to the cloud.
We process sensitive records on your hardware and route everything else to the cloud agent, then keep the two in sync. You get the always-on surface without handing over the records that worry you.
04 Questions
Straight answers
What does an AI operating system do?
It gives every AI workflow in your business one shared brain: the same customer history, catalogue, processes and tone of voice. One system knows the business and every workflow reads from it, so your chatbot and your automations work from the same picture.
Does our data have to leave the building?
No. The local deployment keeps messages, knowledge, embeddings and inference entirely on your own hardware, which means no processor, no transfer and no DPA. If you want always-on access as well, the hybrid model keeps sensitive records local and routes only the rest to the cloud.
How long does a build take?
An audit takes one to two weeks and ends with a ranked list of opportunities and what each is worth. A first working build takes four to eight weeks after that, depending on how many systems it has to reach.
What does it cost?
Every engagement starts with a paid audit, and the audit is what produces the number. We price the outcome per engagement, because the same offer costs very differently depending on how many systems it touches and which deployment model you choose.
Do we have to replace the tools we already use?
Almost never. We build the integration layer to read and write the systems you already run: your CRM, your database, your spreadsheets. The AI reaches those tools and leaves them in place.
What happens when it breaks?
Governance is one of the five layers we build, not an afterthought: escalation paths, human review before a customer sees anything sensitive, and defined ownership of every workflow. You get a documented answer to “who fixes this” before the system goes live.
Do you work in Greek?
Yes. We are a Greek agency, we work in Greek and English, and we build bilingual systems as standard. Your customers get an answer in the language they wrote in.
Next step
Thirty minutes, no deck
Tell us what is eating your team’s hours. We will tell you whether AI is the answer, and say so plainly when it is not.