Your teams test multiple AI tools in parallel, but impact and governance remain unclear.
From isolated AI experiments
to a secure enterprise platform.
For regulated SMEs, public organizations and confidentiality-driven sectors: assess potential in 60 seconds, with an AI Exploration Workshop (0.5–2 days) and proof of concept (2–4 weeks) for KPI-backed investment decisions — under Swiss jurisdiction with auditability and revDSG/FADP alignment.
Problem check
Where decision makers lose time and energy today
If two or more points apply, the next step is usually not another tool - but a clear platform decision.
Data protection, confidentiality rules or auditability block scaling.
There is no clear integration path into systems like DMS, Teams, SharePoint, or line-of-business tools.
Business and IT discuss AI, but without a shared roadmap and KPI targets.
Potential calculator
Would a consultation make sense for you?
Get an initial estimate on AI potential, search effort and urgency in 60 seconds.
Decision-maker FAQ
Answers to the critical decision questions
From isolated AI experiments to confident platform decisions: each answer covers objection, approach and concrete business value.
Business Case & Misinvestment Risk
Executive + Business Lead How do we avoid turning isolated AI pilots into an expensive tool patchwork? A governed core replaces fragmented tool growth.
We consolidate AI use cases on one shared platform core with consistent policies, roles and integrations.
Value: Lower duplicate effort, clearer prioritization and significantly lower follow-up cost from tool sprawl.
Executive + CFO How quickly can we move from pilot to measurable value? Decision-ready evidence instead of long pilot limbo.
With an AI Exploration Workshop (0.5–2 days) and a proof of concept (2–4 weeks), you get KPI-backed stop-or-go evidence for your investment decision. Minimum Viable Product and onboarding then take you into production rollout — on the same platform.
Value: Faster decisions based on evidence instead of months of uncertainty.
CFO + CIO How do we control AI costs before they become unpredictable? Cost governance becomes operationally manageable.
AI usage costs can be tracked and governed per team, agent and use case as part of daily operations.
Value: More predictable budgets, fewer surprises and stronger investment steering.
Compliance & Governance
Executive + Compliance How do we keep data sovereignty when introducing AI? Sensitive data stays under Swiss-controlled boundaries.
The platform can run in Swiss-controlled infrastructure, including local models and isolated operations.
Value: Sensitive data stays under your control and governance.
Compliance + Legal How does this align with revDSG and FADP? Audit evidence becomes easier to maintain in daily operations.
Access paths and data processing remain traceable with documented controls.
Value: Compliance evidence is easier to produce and defend.
Executive + IT + Compliance How do we organize governance across business, IT and compliance? Clear accountability replaces cross-team ambiguity.
We define an operating model with role ownership, approval gates and KPI responsibility per use case.
Value: Less friction across teams and lower decision risk.
Operations & Integration
CIO + IT leadership Which deployment model fits us best: SaaS, PaaS or on-prem? Start where speed matters, scale where sovereignty matters.
You can start with the model that matches your current constraints and evolve along a clear migration path.
Value: Faster start today while protecting long-term sovereignty goals.
CIO + Architecture Can we change operating model later without rebuilding everything? Migration is operational, not a full reimplementation.
The same core runs across deployment models, so migration is a controlled transition rather than a re-architecture.
Value: Lower reinvestment risk and stronger delivery reliability.
IT + Business teams How do we integrate AI into current workflows without adoption friction? Value appears inside existing daily tools.
Integration works through existing environments such as Teams, SharePoint, M365, SSO and APIs instead of adding isolated tools.
Value: Faster adoption and lower rollout risk.
Service leadership + Executive How do we ensure answer quality in agent-driven support operations? Automation stays under active human quality control.
Agent responses are continuously reviewed and scored by humans so improvements can be applied systematically.
Value: Faster ticket handling with controlled quality and lower operational risk.
Executive + CIO How do we connect workflows across organizational boundaries? MCP integrations enable scalable cross-organization process execution.
MCP can securely connect external systems and partner processes, allowing coordinated workflows across teams and organizational boundaries.
Value: Less manual handover, shorter cycle times and more reliable process quality.
Commercial Risk & Lock-in
Executive + CIO How do we avoid dependency on a single provider? Technical and commercial flexibility remains intact.
The platform core stays model-agnostic, allowing provider changes without re-architecture.
Value: Stronger investment protection and long-term flexibility.
Executive + Legal + Procurement What is the difference between the Core (Apache 2.0) and Enterprise modules? Open-source foundation and commercial extensions are transparently separated.
The Core provides the complete starting platform under Apache 2.0. Enterprise modules are provided and target professional commercial deployment scenarios.
Value: Clear licensing logic for procurement, governance and long-term planning.
CIO + Executive When is Core-only enough, and when does Enterprise support make sense? Decide based on capability, timeline and risk tolerance.
If your team has sufficient engineering and operations maturity, the Core can be extended internally. Enterprise support is appropriate when time-to-value and delivery risk reduction are business priorities.
Value: A fit-for-purpose path without under- or over-investment.
OEM + Professional dev teams What is the role of the SDK for professional developers or OEMs? Strategic extensibility is planned, not improvised.
An SDK is planned for advanced teams and OEMs to build custom agents, integrations and extensions efficiently on top of the platform core.
Value: Greater autonomy while remaining aligned with the platform architecture.
Executive + Procurement + Tech lead Why is the public repository not yet released? Transparency-first communication over premature publication.
The repository will be published after launch readiness is complete. Until then, we align requirements transparently and provide technical depth via the developer site.
Value: Professional expectation management instead of opaque placeholder links.
Procurement + Executive How do we reduce procurement and contract risk in AI initiatives? Contract decisions are backed by technical portability.
Open interfaces, transparent operating models and a portable core preserve your long-term exit and negotiation position.
Value: Lower supplier risk and better control over contract terms.
Executive + CFO + CIO What is the minimum viable start to avoid early wrong bets? Start small, decide on evidence, scale deliberately.
Begin with a prioritized use case and explicit success criteria before broad rollout.
Value: Fast learning with limited downside and cleaner investment decisions.
How we work with you
From pilot to production rollout
Four connected stages — from first ideas to everyday use in production. Each phase answers a concrete decision question and delivers measurable value, so you are not stuck in endless pilots.
Step 01
AI Exploration Workshop
0.5–2 days
You need clarity: which AI initiatives and agents create real business value — and in what order?
A prioritized use-case backlog your leadership and business teams can rely on for investment decisions.
- Joint prioritization by business value and effort
- Feasibility and architecture assessment
- Decision-ready backlog for leadership and business units
Step 02
Proof of concept
2–4 weeks
You want to reduce risk before larger budgets are committed.
Clear evidence in practice — with KPI-based stop-or-go guidance for what comes next.
- Working prototype in a secure environment
- Success criteria and KPI review
- Manageable scope without major upfront investment
Step 03
Minimum Viable Product
Building on the PoC
You want to scale — on one platform, with governance and ties to your processes.
A production-ready foundation for further AI initiatives: one platform instead of more tool silos.
- Minimum Viable Product on the same platform as the PoC
- Data protection, governance and integration in place
- Preparation for controlled rollout
Step 04
Onboarding & production operations
As needed
Your teams need to use AI safely, confidently and sustainably in daily work.
Embedded use in day-to-day operations — with training and support scaled to your maturity.
- Training and enablement for key users
- Support from first use through to workflow adoption
- Flexible scope aligned with your priorities
Integrations
AI where your teams already work
No extra tool silo. The AI Hub connects to existing work environments to deliver value without adoption friction.
Microsoft Teams
Need: Business teams want to start without switching tools.
Value: High adoption because AI is used in the daily chat context.
Slack
Need: Decisions happen in channels, not in detached portals.
Value: Faster answers where teams already collaborate.
bbv software engineering
Custom integrations
Need: Your system landscape requires connectors that are not available off the shelf.
Value: As a custom software provider with 30 years of experience, we build tailored integrations when the business case is clear.
SharePoint and OneDrive
Need: Distributed internal knowledge must be searchable fast.
Value: Information access shifts from hours to seconds.
Single Sign-On
Need: Avoid account sprawl and compliance blind spots.
Value: Controlled AI access through existing identity management.
Ticketing systems (e.g., Jira)
Need: Accelerate support operations without replacing existing service processes.
Value: Agents assist directly in ticket workflows and reduce time to quality-assured responses.
MCP integrations
Need: Coordinate processes across teams and organizational boundaries.
Value: Secure cross-organization workflows without media breaks.
Our strategy
Investment protection & compliance
Against vendor lock-in
LLM model agnosticism and an open-source core with a clear split: self-operation via swiss-ai-hub.ai, commercial operations and services via bbv AI Hub — extendable with other partners or your teams.
Sovereignty as a service
Managed sovereignty on Swiss infrastructure. Full control without heavy hardware investment.
Governance first
Granular cost control, audit logs and traceable responses with source references.
Product promise
bbv AI Hub is our commercial platform and services offering — with clear bbv accountability for operations, guidance and sovereign deployment options, not just an anonymous public-cloud AI subscription.
Swiss sovereignty and trust by design: data sovereignty, revDSG/FADP-aligned operations and traceable AI decisions — with sources, audit trails and controlled costs.
Transparency through an open-source core (on Swiss AI-Hub): for operations, enterprise modules and guided rollout you use the commercial bbv AI Hub at ai-hub.bbv.ch.
Fast impact, scalable with confidence: clarity in 0.5–2 days in the AI Exploration Workshop, KPI evidence in 2–4 weeks in the PoC — and one continuous path to minimum viable product and production rollout.
One core. Clear operating and service options.
Decide along two dimensions: operating models (on-prem or PaaS) and delivery model (platform foundation plus optional enterprise services).
Open Source
Core (Apache 2.0) — Swiss AI-Hub
The open-source core will be provided on swiss-ai-hub.ai (without bbv services). For operations, enterprise modules and guidance: commercial bbv AI Hub.
- Core licensed under Apache 2.0
- Complete platform starting point
- Docker / Kubernetes ready
SaaS (Managed)
For faster rollout with lower operational burden
Managed platform operations with Swiss hosting options, so business teams reach value sooner.
- Faster go-live without full internal ops setup
- Operations, updates and health watch included
- Scalable path toward advanced service bundles
Enterprise
Enterprise services & modules
For decision makers who need predictable delivery speed: services, operational support and enterprise-grade extensions under clear accountability.
- PaaS / on-prem installation, onboarding and migration
- Custom agents, API development and white-labeling
- Enterprise modules
Repository status
Open-source repository available
The public core has been released after completing launch readiness. Access is open, development is transparent, and the source code is publicly available.
Customer stories
When strategy, security and impact align
Voices from organizations that moved from AI experiments to an integrated platform.
Social research & data science
DemoSCOPE AG
"
"bbv played a key conceptual role in building an innovative research app, helping us increase our attractiveness for clients and in the market."
Manufacturer of laboratory and analytics automation
Swiss lab automation provider
"
"The agent brings support knowledge directly into the workflow. Quality remains transparent because human reviews continuously trigger improvement."
Support automation
"How do I solve error #503 from Jira ticket 4920?"
Cut first-level ticket volume through intelligent triage.
Details→Municipality & administration
"Check this building plan against zoning rules and draft a pre-review report..."
Agents for planning, finance, social services and schools — relieving specialist teams.
Details→HR efficiency boost
"Create an interim reference for project manager Miller..."
Reduce HR admin effort by up to 80% with automated, compliant references.
Details→Compliance & case preparation
"Find the responsible owner, summarize recent tax returns and create a briefing task..."
Dossier pre-selection for case management: generate briefings and route them to case workers — with data sovereignty.
Details→Agents & workflows
Specialized agents
More than chat. Our agents represent complex workflows and integrate deeply into your infrastructure.
Knowledge Agent
Your enterprise memory
Indexes file servers, SharePoint and wikis to make hidden knowledge instantly accessible.
News Agent
Editorial assistant 2.0
Scans sources, proposes topics and drafts content directly for your CMS workflow.
Support Agent
24/7 problem solver
Relieves helpdesk pressure through autonomous ticket pre-resolution with Jira integration.
Publishing Agent
Interactive archives
Transforms static archives into interactive experiences for users.
Sales Agent
Intelligent sales steering
Customer history for upsell — plus pre-sales intelligence on competitors and accounts to prepare sales crews optimally.
Advisory Co-Pilot
Live on the phone
Listens along on calls with PIM/DAM assortment, dependencies and supplier knowledge from SharePoint — including solutions beyond the catalog.
Assembly Agent
Concession-ready assembly
Guides fitters through standardized protocols — by voice and sensors, with final gap checks and formal records for lifts, ropeways and more.
Communication Agent
Meeting intelligence
Summarizes meetings and automatically updates knowledge spaces like Confluence.
Less decision stress
Clear options instead of tool chaos: one structured path from first rollout to sovereignty.
More safety in daily operations
Data protection, governance and traceability built in from day one.
Faster time to impact
Focus on pain-to-value instead of technical gimmicks.