01
Knowledge assistants
Internal assistants that answer questions from your own policies, procedures and documents, with sources your team can check.
What we build
Practical AI that does real work inside your business.
02
Document processing
Extracting, classifying and summarizing information from forms, contracts, emails and reports.
03
AI agents for multi-step tasks
Agents that complete repetitive work across several tools, with a person approving the steps that matter.
04
Voice and chat agents
Customer-facing assistants for calls, SMS and web chat, designed around your scripts and escalation rules.
05
Systems integration
AI connected to your CRM, databases and business applications, so it works with the data you already have.
06
Reporting and insight
Summaries and analysis drawn from your operational data, delivered where your team already works.
When custom makes sense
Custom is not always the answer. We will tell you when it is.
Many needs are met by configuring tools you already own. We recommend a custom build only when it is the better investment.
CONFIGURE EXISTING TOOLS WHEN
- A tool you already pay for can do the job with the right setup
- The process is standard across your industry
- Speed matters more than a precise fit
BUILD CUSTOM WHEN
- Your workflow or data is specific to your business
- Several systems need to work together
- You need control over how data is handled and where it goes
- The work is valuable and repeated often enough to justify the build
How we work
Enterprise delivery discipline, applied to AI.
01 · DISCOVER
Define the outcome
We map the workflow, the data involved and how success will be measured before any build begins.
02 · PROTOTYPE
Prove it works
A working prototype tested on real examples from your business, so decisions rest on evidence.
03 · BUILD
Build and integrate
Production build, connected to your systems, with testing and the controls agreed in discovery.
04 · SUPPORT
Hand over and improve
Documentation and training for your team, plus monitoring and refinement as usage grows.
Built responsibly
Governance is part of the build, not an afterthought.
The same discipline we bring to AI governance for banks and credit unions shapes every custom build.
Human oversight
People review the decisions and actions that carry real consequences.
Data handled by agreement
What data the solution uses, where it is processed and who can access it is agreed and documented up front.
Documented and reviewable
Each build comes with documentation of what it does, its limits and how it is monitored.
Tested on real examples
Accuracy is checked against cases from your business before anything goes live.
Questions
Custom AI, answered
What is custom AI development?
Custom AI development is designing and building AI solutions around a specific business workflow, data set and set of systems, rather than adopting a general-purpose tool as it comes.
How do we know whether we need a custom build?
Often you do not. We first check whether tools you already own can do the job with the right configuration, and recommend a custom build only when it is the better investment.
How is our data handled?
What data the solution uses, where it is processed and who can access it is agreed and documented during discovery, in line with your own policies.
Will it work with our existing systems?
Integration is part of the build. We connect to the CRM, databases and applications your team already uses wherever they allow it.
How do you measure whether it works?
We agree success measures before the build starts, such as time saved per task, accuracy against a reviewed sample or volume handled without manual work, and test against them before and after launch.
How is pricing set?
Each build is scoped to the workflow, data and integrations involved. You receive a fixed, itemized scope before development begins.
Also from us: AI automation, AI visibility (AEO) and B2B lead generation.
20 minutes · No obligation
Bring the problem. We will tell you whether AI is the right answer.
Describe the workflow, the data involved and the outcome you need. You leave with a clear recommendation: configure, build custom, or do not use AI for this.