01 / Automation
Agents and workflows that do the work.
Rules handle the predictable work. AI is added only where judgment creates value.
- Workflow automation
- AI agents
- Document processing
- System integrations
AI and Software
We don’t hand youa roadmap.We hand you arunning system.
Most AI never leaves the pilot. We take one or two workflows all the way into production and keep them running, with senior engineers, real guardrails and your data staying yours.
The pilotImpressive demo. Then nothing.
Tasks handled
001Intake
02Enrich
03Decide
04Human check
05Act & log
Stalled in pilot
> request received · routed by rule
> context gathered from your systems
> model proposes an action · confidence scored
> low confidence → sent to a named owner
> executed, written back, logged for audit
The demo is the easy part. Running it every day is the work.
What we build
Five layers. One working system.
The same senior team designs, builds and runs the system. Every layer connects, so strategy reaches production without a handoff.
02 / Private AI
Your model. Your data. Your hardware.
Run open or commercial models inside the environment your risk profile allows.
- Fine tuning
- Private inference
- Retrieval on your documents
- Evaluation
03 / Software
Build what the workflow actually needs.
Custom software connects the process, data and users into one production system.
- Custom platforms
- SaaS
- Data architecture
- Security
04 / Run
Keep the system alive.
Monitoring, cost control, model updates and a named owner keep production dependable.
- Monitoring
- Cost control
- Model updates
- Support
05 / Governance
Give AI an owner.
Policy, accountability and role based training make the system usable, explainable and governed.
- Fractional CAIO
- Governance
- EU AI Act
- Training
How we work
From decision to production.
Three moves. Guardrails built in. Your infrastructure stays yours.
012 to 3 weeks
Map
Find the workflows where the economics are real.
021 to 3 months
Build
Ship the first production systems with your team.
03Ongoing
Run
Measure, improve and expand only what proves its value.
Guardrails built in
Rules firstSupervised startHuman on hard casesLogged and reversible
Built where your data lives
Your cloudOn premiseOpen modelsCommercial APIsYour CRM and ERP
You own the code, accounts and model weights.
Map where AI pays offQuestions
How this works.
Can we use AI without our data leaving the company?
Yes. Open models can be fine-tuned on your documents and run inside your network or private cloud. Nothing goes to a third-party service, which is usually what unblocks work in health, finance, legal and the public sector.
Where does AI actually pay off?
Rarely where the hype is. The returns sit in repetitive work that still needs some judgment: intake and routing, document handling, research, drafting and reconciliation. We measure where hours and money go before choosing anything.
Do we need a Chief AI Officer?
You need the role, not always the hire. Someone must own the roadmap, the vendor choices, the policy and the reporting. We can hold that seat part-time until AI is big enough in your business to justify a permanent leader.
What about the EU AI Act?
We build the governance in as we go: an acceptable-use policy, records of what each system does, human oversight where it is required, and role-based AI literacy training for staff, which has been an obligation for companies using AI in the EU since February 2025.
What happens if we stop working with you?
You keep the code, the models, the documentation and the accounts. Your team is trained to run the systems, and the handover is part of the work, not an extra. No lock-in.
Start with the problem
Tell us what the work looks like today.
Describe the workflow that eats the most time, what your data rules are and what has already been tried. We will tell you whether AI is the answer, and what it would take to run it properly.
Start a Conversation hello@verba.ventures