A selection of how we've built systems and AI agents into operations. Industries and outcomes are shown as representative examples.
IT & software
AI features for a CO2 emissions visualisation service
Challenge
Drafting CO2-reduction initiatives required users to analyse the data themselves and decide on next actions — leaving the feature underused.
Approach
We built an AI feature that proposes initiatives based on emissions data and usage, integrating it with existing systems and refining UI/UX so the journey from analysis to drafting initiatives is supported end-to-end.
Outcome
Streamlined the path from data to decision and created an environment where users can keep iterating on improvement activities.
Legal & professional services
Business foundation for an AI legal-consultation service
Challenge
In the early stage of a legal consultation, users struggled to reach the information they needed or the right party to talk to.
Approach
We designed and built a consultation platform powered by a legal database and generative AI — surfacing relevant information and suggested directions in response to natural-language questions.
Outcome
Delivered a platform that supports first response in legal consultations and helped the client launch the new business early.
Retail
Building an order management system
Challenge
Orders and inventory were managed separately, and confirmation work and data reconciliation were consuming a lot of effort.
Approach
We connected the EC system with the inventory-management system, building a core system that manages order data in real time.
Outcome
Brought the order process to a half-automated state, cutting confirmation effort and lifting operational efficiency.
Work we turn into systems
A lot of time goes into gathering information and transcribing it.
Work quality depends on the experience and judgement of specific people.
People manually bridge several SaaS tools and systems by hand.
We tried AI tools, but they aren't used in real operations.
Old systems are holding back operational improvement.
Our intent and purpose don't get through to the development vendor.
We don't just add AI — we redesign the whole workflow.
Automating a single task alone rarely pays off — if the checking and input before and after it still fall to people, the effect stays small.
We look at the work from entry to completion, separating what people should judge, what AI should handle, and what the system should control.
Cost-aware tech selection
Beyond functional requirements, we evaluate running costs, scalability and time to build as a whole — selecting technology that fits the stage your business is in and your budget. Adopting frontier tech is never the goal in itself; we focus on a stack that delivers outcomes over the medium and long term.
Support through to operational adoption
A system doesn't end at release — its value shows when it keeps being used in the field. We design with operational flow and the improvement cycle in mind, supporting the work of making the system take root in real operations.
Fast, high-quality build
We design the right development process from PoC through production — moving quickly while securing quality. Shortening the lead time to value, we aim for outcomes early in the engagement.
Project delivery that prevents misalignment
Progress, issues and decision items are shared at the right moments, keeping alignment with you throughout the build. By resolving even small gaps early, we run projects with little rework.
Track record, in numbers
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Development projects delivered
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Avg. time to PoC kick-off
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On-time delivery rate
Development areas we cover
From new AI features to the systems that run the core of the business — we work across a wide range of build targets, picking the right form for what each project really needs.
AI-powered task support (drafting, extraction, classification, search)
Generative-AI applications
Business systems
Web applications
Mobile applications
SaaS & platform development
Data infrastructure
BI & analytics foundations
System integration & APIs
Cloud & infrastructure
* We also support a wide range of other system development needs — please get in touch to discuss.
Development process
From requirements to operations, we run a consistent process. When AI is involved, we run a PoC (proof of concept) before full development.
01
Requirements
When what we're trying to achieve stays vague, development goes back and forth. We start by clearly defining the business challenge and the requirements.
ALBACONNECT'S COMMITMENT
We treat "the problem to solve" — not "the thing to build" — as our starting point, capturing the why and the priority behind each requirement so there is a basis to return to even when specs change.
Activities
Stakeholder interviews and As-Is operations mapping
Organising business challenges and use scenarios
Defining business, functional and non-functional requirements
AI involves a lot of "you can't know until you try." Before full development, we validate technical feasibility and effect on a small scale.
ALBACONNECT'S COMMITMENT
We start by clarifying "what to validate" and "what to set aside," confirming both technical feasibility and how the solution applies to your operations.
Systems that include AI and operational workflows become more costly to change as work moves downstream. We align operations, data and UI at the basic-design stage.
ALBACONNECT'S COMMITMENT
We aim for a design that reads well to both business and technical stakeholders, so that the intent remains visible to anyone who joins later.
Activities
System-wide architecture design
Function inventory and screen-flow mapping
Tech selection (language, framework, cloud, AI model)
Conceptual data model and integration approach
Non-functional requirement direction (performance, availability, security)
OutputBasic design (architecture & system diagrams) / function inventory & screen-flow / tech-selection document / conceptual data model / non-functional requirements
04
Detailed design
What we decide here shapes how the system actually behaves in operations. We translate the design into something stable and runnable, minimising drift.
ALBACONNECT'S COMMITMENT
We design with testability and maintainability in view — choosing structures that last over the long term rather than what's quickest to build now.
Activities
Detailing function and screen specifications
Table design and data-flow detailing
API specifications (endpoints, requests, responses)
Even in business systems, ease of use largely determines whether something takes root. We design screens and interactions that the field can use without hesitation.
ALBACONNECT'S COMMITMENT
Rather than decorative design, we aim for UI that fits the operational context and keeps being used.
We aim for an implementation that runs as designed while remaining easy to operate.
ALBACONNECT'S COMMITMENT
Tests, code reviews and documentation are part of the work, creating a state where in-house operation and handover can proceed smoothly.
Activities
Front-end implementation (UI and state management)
Back-end implementation (APIs and business logic)
Database setup and data migration
AI agent and LLM integration implementation
Cloud infrastructure setup and CI / CD pipeline
Unit tests
OutputImplemented system (front-end, back-end, AI integration) / database & cloud infrastructure / CI / CD pipeline / source code & repository / unit-test code
07
Testing
Before going to production, we verify functionality, performance and exception handling systematically — moving to release once the system is confirmed to behave as expected.
ALBACONNECT'S COMMITMENT
We aim for coverage that includes not only behaviour as specified, but also exceptional cases that may arise in the field.
Activities
Unit and integration testing
System testing along business scenarios
Supporting user acceptance testing (UAT)
AI accuracy and output-quality evaluation
Security review and performance / load tests
OutputTest plan & specs / test results report (unit, integration, system) / AI accuracy evaluation / security & performance / load test results
08
Release
Release isn't only a technical task — it also requires preparing the field for the switch-over. We support a smooth migration.
ALBACONNECT'S COMMITMENT
We support the move into operations while minimising impact on existing work and systems.
Activities
Production environment setup and configuration
Data migration and switch-over procedure
User training and manual preparation
Release-readiness review
Monitoring and alert configuration
OutputProduction environment / migration runbook & switch-over plan / user manuals & guides / release-readiness record / monitoring & alert setup / operations handover docs
09
Operations
The period right after release matters for how the system takes root in daily use. We turn the improvement loop together with you.
ALBACONNECT'S COMMITMENT
Depending on your needs, we continue alongside you with monitoring, improvement, and additional development after launch.
Activities
Live monitoring and incident response
Usage-log and KPI analysis
AI accuracy monitoring, re-training and tuning
Feature additions and improvement development
Operations manual and documentation updates
OutputLive monitoring dashboard / monthly operations report (usage logs, KPIs, AI accuracy) / improvement proposals & roadmap for additional development / updated operations manual
Standard schedule
A reference timeline. About 6 months from kick-off through release and operational stabilisation — adjusted to your scope.
M1M2M3M4M5M6
01Requirements
02PoC
03Design (basic / detailed / UX)
04Development
05Testing & release
06Operations (ongoing)
* Timing may shift with project size and requirements. PoC-only or operations-only engagements are also possible.
Security & compliance
We treat your information and data with the same care we'd want for our own. Below are the baseline measures every engagement runs on.
Confidentiality & NDA
We sign an NDA before engagement starts. Your information and data are never used for any other purpose.
Access control
Access is granted on a least-privilege basis and managed per project member.
Data handling
Personal and confidential data is handled within your environment by default; any external transfer requires prior agreement.
Audit support
We maintain access and operation logs, and support both internal and external audits.
The team you'll work with
Each engagement is staffed with the right specialists for the work — strategy, operations, engineering, data and design — assembled around your project. Rather than a one-size-fits-all team, we tailor the composition to your situation, so the right experience meets the right phase of the work.
Strategy & consulting
Business structure, roadmap design, investment decision support
Operations
Business flow, on-site understanding, adoption
Engineering
AI / LLM implementation, system development, operations
Data
Foundation design, modelling, governance
Design & UX
UI / UX design grounded in operations, communication design
Common questions about Development — engagement, scope and how we work with your team.
Yes. We can run a PoC on its own, or take you all the way from PoC through to production — we adapt the scope to your situation.
Trusted By
Our work with over 100 companies in total
A selection of companies who have entrusted us with strategy, implementation and data foundations.
Above is a small selection of the companies we've had the privilege to work with. For details on other engagements, please feel free to get in touch.
CONTACT
We support AI and system adoption that drives business growth.
We'll hear about the work you want to enable or the problem you want to solve, then organise the functions needed, what existing products can cover, and what should be custom-built.
