AI solutions for businesses are applications of artificial intelligence that automate business processes, make company knowledge available with a simple question, run as your own language model inside the company or answer calls as an AI phone assistant, connected to the systems and data you already have.
As an AI agency, titanspear.ai plans, builds and supports these solutions for companies where a small number of large orders drive revenue. Every one of those orders comes with a lot of paperwork: tenders, quotes, contracts, technical queries. That is exactly the work we take off your experts' hands. And on the phone, Steffi, our AI phone assistant, takes over.
Free and no obligation. Prefer to write? info@titanspear.agency
Founder: TÜV SÜD-certified AI Automation Manager · IHK-qualified · Langenselbold, Hesse, Germany
Today, artificial intelligence for businesses mainly means language models that read, understand and write text, built into real workflows. The chat window is only the most visible part of it.
The value comes where the AI is connected to your data and systems. It reads incoming requests and files them in the right system. It finds the one clause in ten years of project documentation that sales is looking for.
At titanspear.ai, four services cover this.
Many workflows come down to reading, cross-checking and transferring data: reviewing a tender, entering data into the ERP, preparing a quote, reporting status. AI process automation handles these steps through interfaces and also understands unstructured input such as emails and PDFs. Wherever a decision is due, a person signs off.
More on AI process automationManuals, contracts, quotes, meeting minutes: the knowledge is there, but nobody finds it fast enough. An AI knowledge system based on RAG (retrieval-augmented generation) answers questions from your own documents and cites the source. Anyone who gets an answer can check it.
More on RAG for businessYour employees are using AI anyway, often with personal accounts and without any rules. A corporate LLM is the official alternative: a language model under your control, with defined access rights and clear rules on where data is stored.
More on corporate LLMsSteffi, the AI phone assistant, answers calls around the clock, captures the request, pre-qualifies prospects against your criteria and books appointments straight into your calendar. Your team only picks up the phone when it really matters.
More on the AI phone assistantWe set up both and look after them on an ongoing basis. You keep working as before, except no call gets lost and your Google profile shows what customers think of your work. Why customers rarely leave reviews on their own, and what helps, is covered in our guide How do I get more Google reviews?
Steffi answers every call, reaches new leads within a minute (speed to lead), asks your qualifying questions and books suitable prospects straight into your calendar.
After every completed job, your review system asks your customers personally by email or WhatsApp for a genuine Google review, with a reminder and reporting.
Read more: AI phone assistant or voicemail? and templates for business voicemail greetings.
The assistant picks up, calm and natural, even when everyone's hands are full.
It listens, asks follow-up questions and records name, request and urgency in a structured way.
Every request reaches you complete. You call back when it suits you.
Day and night, at weekends, on holiday: the line stays open even when nobody is in the office.
The assistant puts requested appointments straight into your calendar, matched to your availability, without phone tag.
The phone rings for the fifth time while your team is out with a customer. That's exactly when Steffi picks up.
On the right is a real test call, uncut, with a transcript to follow along. The recording is in German, the language Steffi speaks with your callers.
In the intro call we work out which calls Steffi should take for you.
At its core the job is the same everywhere: pick up the phone, listen, capture the request properly and route it to the right place. What differs are the details of your day-to-day business.
New leads from your website, landing page or ads get a call within 60 seconds, are pre-qualified against your criteria and get an appointment. Around the clock, cleanly logged in your CRM.
The AI talks to applicants around the clock, asks your must-have criteria in a structured way and books interviews only with suitable candidates.
Plumbing, heating, air conditioning, electrical: the assistant answers while your team is on site, notes the request and its urgency and schedules the callback.
Viewing requests, damage reports, tenant issues: the assistant takes them down, prioritises urgent ones and sorts them by property. Monday starts without a call backlog.
The AI as a phone sparring partner for your sales team: realistic objections, practice as often as needed without risking a customer, with call analysis for targeted coaching.
During meetings and deadlines the AI takes client requests confidentially, records callback requests and spots what's urgent. Your front office gets room to breathe.
“Where's my parcel?”, “When will my delivery arrive?”, “I want to return this”: the AI handles these questions on the phone, including order intake, tracking and returns.
Lots of calls and too few hands on the phone? Then the assistant probably fits your business too. Talk to us.
Ten use cases, ten dedicated pages, each with examples from everyday work in that industry. Or listen to Steffi right away:
Larger companies ask different questions than small businesses: Where is the data stored? Who has access? What does the works council say? How is activity logged? We settle these questions before the first line of code, not after.
What these fields have in common: a small number of large orders and a lot of document work per order.
On the phone as well: an AI phone assistant answers incoming calls and pre-qualifies inquiries before they reach your sales team.
We talk about one specific process or knowledge area, not about AI in general. 30 minutes by video, free of charge.
Which data, which systems, which approvals? You get a concept that lays out effort and benefit.
One clearly scoped use case goes live with real data.
Whatever proves itself in the pilot gets rolled out. We keep supporting the solution instead of just handing you a tool.
“We've been working with titanspear for six months now, and we've been able to automate a lot of processes.”
I'm Flo Knies, founder of titanspear.ai. I come from the skilled trades, worked as a field service technician, and today I'm a certified AI Automation Manager (TÜV SÜD Akademie). I plan and build every solution myself and stay your point of contact afterward.
Our founder Flo Knies is certified as an AI Automation Manager by TÜV SÜD Akademie and holds several IHK qualifications (German Chamber of Commerce and Industry). You'll find the certificates below.
Video in German. English translation of the transcript below.
“The dealership has finally calmed down. My name is Alex, and I'm the founder and CEO of AE Productions, a marketing agency, and my father owns a Mercedes dealership. We've been working with titanspear for six months now, and we've been able to automate a lot of processes.
What's changed: no call gets lost at the dealership anymore. Number one, the staff had time again to get their other work done; the managing directors had more time and didn't have to worry about employees swamped by all the customer inquiries; and the salespeople could breathe again because they weren't constantly dealing with inquiries that weren't even qualified.
For my agency, the biggest gain is a clear head, because I've cut out routine work and because the AI has helped me so much in filling my calendar without me having to put work into it.
What I like about titanspear: very, very professional. They're approachable, meaning I always have someone to talk to when I have questions. And you can simply do everything, which is really cool. From appointment to sale: lead qualification, scheduling, calendar, email reminders, a chatbot on the website. All of it could be built.
I can honestly recommend working with titanspear to anyone. […] Which routine tasks do I have that I could automate? If you're asking yourself questions like that, you should definitely get in touch with titanspear. […]”
— Alex, Founder & CEO of AE Productions, on working with titanspear (video testimonial, 2026; transcript translated from German and shortened)
“The dealership has finally calmed down: no call gets lost anymore, the staff have time for their own work again, and the salespeople no longer deal with unqualified inquiries.”
Alex on his father's Mercedes dealership · titanspear.ai client (translated from German) “My head is clear again. The AI fills my calendar without me putting work into it, and I'm spared the stress. And I still always have someone to talk to.”
Alex Founder & CEO, AE Productions (translated from German) That depends on the use case, not on the model name. For workflows with lots of documents, AI process automation is the right fit. If you want to find internal knowledge faster, you need a knowledge system built on RAG. Companies with confidential data rely on a corporate LLM under their own control. Often all three work together. In the intro call, we figure out where you should start.
Start where people spend a lot of time today reading, searching or retyping. Typical starting points are incoming requests, quote preparation, contract review and internal knowledge search. What matters is connecting the AI to your existing systems instead of adding an isolated tool on the side. A small pilot with real data quickly shows whether it's worth scaling up.
An AI reads tenders and flags the requirements that match your own portfolio. A knowledge system answers questions about manuals and contracts and cites its sources. An automation transfers data from incoming emails into the ERP and reports discrepancies. An internal language model helps draft reports without any data going to a public service.
Data protection is a question of architecture. What matters is where data is stored and processed, who is allowed to access it, and whether inputs are used to train third-party models. With your own infrastructure or contractually bound providers, role-based permissions and logging, AI can be used in compliance with the GDPR. We put the details in writing before the project starts.
Pick a time in the calendar. Bring one process or knowledge area with you, and we'll talk through your specific case.
Name one process or knowledge area. In the intro call, we'll tell you honestly whether AI can help there and what a pilot would look like.
Free and no obligation. Or by email: info@titanspear.agency
