More time for people.
More answers.
Less busywork.
✓
Your knowledge
✓
Your existing tools
✓
Privacy & security built in
Start with one task. Add more when you’re ready.
Your AI assistant
Example
How do I change my address?
You can update it in your account settings. Here’s the guide to help you.
Account update guide
✓
From your approved knowledge
An easy start.
Four ways to lighten the load.
?
Answer questions
↗
Handle requests
⌕
Find knowledge
↔
Personal support
Helpful in the moments that matter
Less back and forth. More moving forward.
A question answered. An email ready to review. The right document found. Explore how ACCELERAID helps with the work in front of you.
Company knowledge
⌕
How do we approve new suppliers?
Purchasing guide
Approval steps · Required documents
✓
Less searching. More time for the conversation.
What relief looks like
Choose an example
Answers
Customer service
Team knowledge
Personal
Your FAQ bot
Approved knowledge. Helpful answers.
Website
Help centre
Product questions
Approved content
Website visitor
Which documents do I need to get started?
Question assistant
You will need proof of identity and your completed application. The onboarding guide has the full checklist.
↳ Source: approved getting-started guide
Answer from your knowledge
Hand over instead of guessing when the basis is missing
↗
Helpful AI
Website
Sample dialogue, not a live AI assistant.
Customers get further.
Useful answers, without the unnecessary back and forth.
Teams gain time.
Less repetitive handling. More room for human expertise.
You set the pace.
One useful workflow today. More possibilities when you’re ready.
Start with what would help most
One task or a whole journey. There’s a place to start.
Choose the module that fits your next step. You don’t need to buy all four or change everything at once.
Your website
How can I help?
Where do I find …?
Here is your answer.
From question to helpful answer
01
The pragmatic start
FAQ bot / Starter
FAQ Bot / Starter
Turn your website into a first line of support.
Give visitors immediate answers from your approved knowledge, with a ready-to-deploy web chatbot that your team can customise.
✓
Fast go-live on your website
✓
Grounded RAG with hallucination controls
✓
Self-service customisation
✓
Scalable monthly request packages
Start with website answers
→
New request
→
→
✓
Draft ready
For review
Less in the inbox. The final say stays with you.
02
Ticket & email automation
Customer service copilot
Customer Service Copilot
Move requests forward. Not between inboxes.
Automate incoming support emails and IT or service tickets, from classification to resolution, with people in control of the exceptions.
✓
Classify incoming emails and tickets
✓
Generate response drafts
✓
Automatically close eligible cases
✓
Human-in-the-loop review and escalation
Classify
→
Draft
→
Resolve
Automate under agreed rules. Involve people when needed.
Explore service automation
→
⌕
Where is our purchasing guide?
Found in your knowledge
Purchasing guide · Approval process
↗
Your team's knowledge. Easier to find.
03
Employee productivity
Workforce assistant
Internal Workforce Assistant
Find the answer. Get back to the work.
Bring company knowledge into a central internal assistant, available in the tools your people already use.
✓
A central knowledge assistant for teams
✓
Native Microsoft Teams and Slack integration
✓
Native intranet integration
✓
Native Confluence and SharePoint integration
Microsoft Teams
Slack
Intranet
Confluence
SharePoint
Meet the knowledge assistant
→
Website
App
→
One conversation.
With your context.
Personal service across your channels
04
The fully connected experience
Personal agent for every channel
Hyper-Personalized Omnichannel Agent
A personal account manager. At every touchpoint.
Connect customer context, conversations and actions in one fully networked agent, powered by a central AI Brain.
✓
Web app and native iOS / Android SDKs
✓
WhatsApp Business API; telephony on request
✓
Native CRM, CDP and core transaction connections
✓
Contract history, balances and interactions
✓
Autonomous actions via MCP, within your rules
One shared AI Brain
Data-agnostic by design. Connected across your systems.
Plan your personal AI assistant
→
Included in all four modules
OpenAI and Google Gemini, other models on request · Hosted in Frankfurt (ISO 27001) · Intelligent data masking · Central rules and controls
Your personal agent
Example
Can we move my payment to the 15th?
Your account supports that change. Shall I prepare it for your confirmation?
✓
Your context. The right next step.
Personal help. Wherever life happens.
Every channel. Still one conversation.
No need to start from scratch. Give your customers an agent that understands their account and helps them take the next step, wherever they reach out.
It knows.
Contract history, account balances and previous interactions from CRM, CDP and core systems provide the context.
It helps.
Approved actions through Model Context Protocol (MCP) move the request forward, with confirmation where required.
It’s there.
Web app, native iOS and Android SDKs, WhatsApp Business API and telephony on request.
Connected behind the scenes
Your knowledge in. Helpful action out.
A shared AI Brain connects the information and tools you choose. Start with the sources you need, then build from there.
YOUR KNOWLEDGE AND DATA
CRM
CDP
Core data
→
One AI Brain
Knowledge · Context · Orchestration
Data masking
Model choice
Action rules
→
WHERE YOUR CUSTOMERS ARE
Web app
iOS / Android
Telephony*
*Telephony on request. Integrations and action scope are defined for your deployment.
Your industry. Your context.
One platform. Different work to be done.
From financial services and insurance to public administration. Explore where the same four modules can support your teams and customers.
Simple to use. Serious about trust.
A helpful assistant. Your rules, always.
Where is the data? Who can see it? What may the AI do? You get clear answers and a configuration that fits your deployment.
✓
GDPR & data processing agreement
✓
Tenant separation
✓
Hosted in Frankfurt
✓
PII filter
✓
Human oversight
PII filter before the model call
Helpful context. Protected details.
01 / Incoming request
I have a question about your offer.
Name:
[person's name]
Email:
[email address]
↓
🛡 Detect · Mask · Minimise
↓
02 / Filtered model context
I have a question about your offer.
Name:
[PERSON]
Email:
[EMAIL]
Illustrative example, not a live filter test. PII means personally identifiable information; redaction reduces risk but guarantees neither complete detection nor anonymity.
Tenant isolation explained
Environment A
Own data store
Defined access
Environment B
Own data store
Defined access
Schematic principle, not evidence of architecture or audit.
01
GDPR built into the process
A data processing agreement before processing, data minimisation, defined retention and procedures for data subject rights are an integral part of our security concept.
Legal basis, responsibilities, deletion periods and, where required, a data protection impact assessment are clarified for your specific deployment.
02
Secure operation in Germany
The platform runs in an ISO 27001-certified data centre in Frankfurt, on-premise on request; language models via Azure (Germany region) or Google Cloud (Frankfurt). Data is encrypted with TLS 1.3 in transit and AES-256 at rest.
Model providers, subprocessors and data flows are contractually defined.
03
Multi-tenancy with clear separation
Customer data is stored and processed with logical separation; access is restricted per tenant.
Do you need several companies, departments or organisational units? Their tenant structure and permission boundaries are reviewed and agreed separately.
04
Your data is not training material
We contractually commit not to use customer data to train our own models. Personal data fields are filtered before the model call.
For external model providers, training use, logging, retention and processing locations are defined separately.
05
Only the right people get access
Role-based permissions and least privilege are part of our access controls.
Sources, roles, approvals and permitted agent actions are set up to fit your organisation.
06
Traceable, not uncontrolled
Source-based assistants with hallucination controls and audit-proof logging of GenAI interactions are part of the platform.
Where there is no basis for an answer, it is handed over to people; those responsible decide which steps are only prepared and which may be executed after approval.
The shared foundation of all four modules
Your model. Your deployment decision.
OpenAI · Azure (DE)
Google Gemini · Frankfurt
Other models on request
Model choice, data protection, access concept and operating options are aligned with your use case together.
Critical questions are welcome too.
For data protection, IT and decision-makers.
More than a good feeling: discuss requirements, limits and evidence before any data is processed.
View security concept
↗
Does that make the solution automatically GDPR-compliant?
Which regulatory requirements are considered?
Which evidence can our IT review?
What happens with wrong answers or sensitive requests?
Start with a clear use case. Data protection and security requirements are planned in from the start.
The agreed configuration, the contract and the related evidence, such as the SOC 2 Type I report, are authoritative.
Small start. Useful next step.
Let’s make the first step a helpful one.
You bring the everyday challenge. We’ll help you find the right place to begin.
01
Pick one useful task
A recurring customer question, a busy inbox or hard-to-find knowledge. Choose the module that helps and agree what success looks like.
02
Make it yours
Connect the right knowledge and tools. Set the rules for answers, actions and human handoffs, then test with your team.
03
Start helping. Keep learning.
Review quality, handling effort and adoption. Add more knowledge, channels or actions when you’re ready.
Before we talk
Good questions. Clear answers.
Have a specific architecture or procurement question? Bring it to the demo.
Do we need to buy all four modules?
What are the FAQ Bot request packages?
How is the Service Copilot different from the FAQ Bot?
Can employees use it in Teams or Slack?
Which channels does the Omnichannel Agent support?
What does “agentic” mean in practice?
Can we choose both the model and the hosting region?
How do you handle hallucinations and sensitive information?
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Bring a question, a workflow or an idea. See how ACCELERAID could help your customers and your team.
