Banzai
Agentic workflows
We give Iron Man suits to you and your team
Deploy AI agents inside real workflows and increase what your teams can deliver.
Banzai is Framna’s approach to designing and deploying AI agents directly into business processes.
Ambition is not the problem. Teams experiment with AI, leadership invests, and roadmaps exist. What is missing is execution inside operational workflows.
AI remains in isolated tools
Manual work and bottlenecks persist
Capacity does not scale
AI ambition is everywhere. Implementation is not.
The gap between ambition and implementation is where most AI value is lost.
Banzai closes this gap by embedding agent systems directly into how work gets done.
Instead of isolated tasks, we design orchestrated workflows where agents execute defined work under human supervision.
From isolated tasks to orchestrated workflows
From manual execution to supervised autonomy
From pilots to scalable systems
The result is not just efficiency. It is increased capacity that can be redirected toward higher-value work.
The goal is not replacing people. It is expanding what they can accomplish.
What we build and deploy in your workflows
We design and implement AI-powered workflows inside your existing operations. The outcome is a working system embedded directly in how work gets done.
Each workflow is built as a multi-agent system, with defined tasks executed under human supervision and governance aligned to your operational requirements.
From the start, we focus on measurable impact, reducing manual work, improving cycle time and increasing throughput while maintaining quality.
At the same time, we establish a repeatable model that can be extended across additional workflows.
We deploy these systems end-to-end, from idea to production, inside complex organizational environments. This is not advisory work. We design, build, and implement workflows as real operational systems.
In practice this means:
Defining how people supervise and collaborate with agents
Building reliable, governed systems that evolve over time
Ensuring compliance, traceability, and control
Delivering in regulated and operationally complex environments
The work follows a structured progression
From discovery to production in weeks, not months.
Identify the workflow
Find where friction limits speed or capacity
Design the system
Define agent roles, workflow logic, and governance
Build and deploy
Implement with production-grade architecture
Validate impact
Measure performance, quality, and reliability
Scale
Expand where value is proven
Who agentic workflows is for
Agentic workflows are for organizations where structured processes drive critical operations and where quality, control, and compliance cannot be compromised.
If work follows structured processes, agents can improve it.
Operations leaders
Responsible for efficiency and execution across complex operational workflows
Compliance, legal, and finance teams
Working in environments where accuracy, traceability, and governance are mandatory
IT, digital, product, and data teams
Looking to deploy AI safely inside real workflows rather than isolated tools
Innovation and transformation leaders
Responsible for turning AI ambition into real operational capability across the organization
Operational impact you can measure
When we deploy agentic workflows, organizations measure impact through operational and people-focused metrics.
Common measurements include:
Time saved
Manual work reduced
Error reduction
Throughput increase
Employee satisfaction
Capacity redirected to higher-value work
Framna builds and operates digital products for organizations such as H&M, SEB, and Vattenfall, bringing the same standards of reliability, governance, and quality into agent workflows.
The goal is not reducing headcount. It is improving how work gets done.
Start small, prove value, then scale
We begin by identifying a workflow where AI agents can create measurable impact safely.
From there, we prototype and validate using your data, ensuring feasibility, compliance, and measurable value before scaling.
Discovery & prototype
€15–30k fixed scope engagement.
In this phase we identify a candidate workflow, prototype the initial agent setup, and validate feasibility and compliance.
Build & scale
Project-based depending on workflow complexity, integrations, and governance requirements.
The goal is to demonstrate visible value early before expanding the approach to additional workflows.
FAQ
Is this safe and compliant?
Yes. We design agent workflows in line with your organization’s data security policies and governance requirements. Human oversight is built directly into the workflow.
Do we need AI expertise internally?
No. We implement the system while building capability alongside your teams so agent-powered workflows become part of daily operations.
How is this different from Copilot or general AI tools?
Those tools assist individual users. In Banzai engagements we design and deploy agent workflows that execute entire operational processes.
What if priorities change during the engagement?
We start with a controlled discovery phase and proceed iteratively. Scope can adapt as insights emerge.
How does this create lasting impact?
We design governance, document workflows, and build internal capability so agent-powered workflows become part of how your organization operates.
Ready to get started?
