Agentic Business Engineering

Turn business workflows into intelligent systems.

Agentic Business Engineering combines business design, data, automation, AI agents, and human judgment in one system built around how your business needs to operate.

Business outcome first · Technology second · Ownership throughout
~/frontira/business-system
operational
01 · Business outcome
A decision or result worth improving
owner · KPI · value · boundary
02 · Workflow
The real work, including its exceptions
people · rules · handoffs · edge cases
03 · Intelligent system
Data, agents, tools, and interfaces
context · reasoning · actions · outputs
04 · Operation
Human control and continuous learning
approval · logs · fallback · improvement
client owned by defaultready for real work
What it is

Not another AI project. A better way for the business to work.

Most AI initiatives begin with a model, platform, or list of use cases. Agentic Business Engineering begins with a business outcome and works backwards through the decisions, workflow, data, tools, and human judgment required.

The result is an intelligent system inside the work, increasing speed to action while keeping people in control of what matters.

Venn diagram showing how business, agents, and engineering combine as Agentic Business Engineering
Fig. 01 ยท Framework Business defines value. Agents bring reasoning and action. Engineering makes the system reliable. Read the framework →
Public proof

Working systems, visible outcomes, and proof worth checking.

30k

Guest emails handled per year

A semi automated service workflow supports triage, replies, data extraction, and upsell detection while retaining human review.

“That gives us more time for what really counts: our guests.”Torsten Pedit · CEO · Salzwelten
View the case evidence →
1 week

From possibility to usable applications

A1 Brand Strategy describes applications built together with Frontira that could be put to use within a week and support the work where AI makes professional sense.

“Frontira showed us what is technologically possible and built applications with us that we could put to use within a week.”Stefan Schindele · Brand Strategy · A1
Read the published client statement →
AIR 2026

Recognised as one of the best AI projects

Baumit Agent is a content creation hub by Baumit Group and Frontira, recognised at AIR Salzburg 2026.

View the independent source →
The real gap

AI capability is accelerating. Application Capacity is not.

Models are no longer the main constraint. The constraint is an organisation's ability to understand what changed, imagine better work, build quickly, embed it, and scale what proves valuable.

01

Understand

See what the technology can do now and what that changes for your business.

02

Imagine

Redesign workflows, decisions, and customer value without inheriting old constraints.

03

Build

Turn one high value opportunity into a working first version at the speed of learning.

04

Embed

Integrate the system into real roles, routines, approvals, tools, and decisions.

05

Scale

Extend what works with governance, infrastructure, ownership, and continuous improvement.

Agentic Business Engineering connects all five capacities in one delivery discipline.
How we deliver

Forward deployed means the builders stay close to the work.

Our engineers work beside the people who own the workflow, joining business context and engineering in one short learning loop.

This is not staff augmentation. Frontira is accountable for a working system and for leaving your team able to operate it.

01

Enter the real workflow

We observe the work, clarify the outcome, map exceptions, understand the data, and agree where human judgment stays.

02

Ship the first working system

We build inside an agreed safe setup using representative cases, real constraints, and the systems the workflow depends on.

03

Learn through use

The people who do the work use the system, surface edge cases, and help us refine the logic, controls, and experience.

04

Transfer ownership and scale

We document, train, hand over, and define the next operating model. Frontira returns for new problems, not because the old one became a black box.

Sophie Schindele
Sophie Schindele
Forward Deployed Agentic Engineer
Fabiola Corisi
Fabiola Corisi
Forward Deployed Agentic Engineer
Peter Riegersperger
Peter Riegersperger
Forward Deployed Agentic Engineer
What we build

Systems for work that is valuable, repeated, and ready to change.

Service operations

Customer service that understands context

Intake, classification, response support, extraction, routing, and upsell signals, with human approval where risk requires it.

Commercial intelligence

Signals that reach the right decision maker

Live research, CRM enrichment, market monitoring, and prioritisation designed around the next action.

Content operations

Content systems with fewer handoffs

Research, creation, review, routing, metadata, and publishing flows that encode business standards.

Internal knowledge

Decision support built around your context

Systems that retrieve, compare, synthesise, and prepare the next action while keeping the accountable person in control.

How clients start

Begin at the level of confidence you have today.

You do not need to commit to a transformation before you have proof. Each format creates the evidence required for the next decision.

01
Align

Leadership Sprint

For leadership teams that need practical understanding, strategic alignment, and a grounded first move.

Explore the Leadership Sprint →
03
Prove

Agentic AI Sprint

Five contained days around one workflow, one owner, one KPI, human approval, fixed scope, and a go or no go decision.

Discuss a five day sprint →
04
Operate and scale

Forward deployed delivery

Build, harden, integrate, transfer, and extend the systems that prove useful in real operations.

Talk about production →
Responsible deployment

Guardrails belong inside the system.

Ownership, data handling, review paths, and operational control are designed before a system is trusted with meaningful work.

Human approvalSensitive actions remain reviewable until performance and risk justify more autonomy.
Logs and fallbacksAgent actions are traceable and paired with defined behaviour when a model, tool, or input fails.
Client ownershipCode, prompts, workflows, and documentation belong to the client unless agreed otherwise.
Data clarityProviders, data flows, access rules, and processing requirements are documented for the project.
Deployment flexibilitySystems can run in client controlled infrastructure or another agreed secure environment.
Operational handoverDocumentation and working knowledge are part of delivery, not an optional final phase.
Start with the work

Tell Joanna what is slowing the business down.

She will help you decide whether the right next step is leadership alignment, one Monday of proof, a five day sprint, or a forward deployed build.