An inbox with varied requests
Messages need to be classified and routed, but their wording and structure vary.
Use AI-assisted classification to propose a route, validate required fields and send uncertain or sensitive cases to a reviewer.
AI-ENABLED WORKFLOWS
Combine AI capabilities with explicit business rules. Classify information, extract useful data and assist your team inside a workflow designed for review, validation and controlled execution.
THE OPPORTUNITY
Start with a narrow task and a clear definition of a usable result. We evaluate where AI adds value, where deterministic rules should remain in control, and when a person needs to review the output before the workflow continues.
WHAT WE CAN ENGINEER
Capabilities are selected for your process, users and systems. Every engagement has an agreed scope.
Turn varied inputs into information that can be checked.
Help people find and prepare information.
Keep the application of AI bounded and observable.
HOW IT FITS TOGETHER
AI output is a candidate result—not automatic permission to take a business action. Rules and review determine the next step.
PRACTICAL APPLICATIONS
Illustrative scenarios—not client case studies or claims of existing integrations.
Messages need to be classified and routed, but their wording and structure vary.
Use AI-assisted classification to propose a route, validate required fields and send uncertain or sensitive cases to a reviewer.
Documents contain useful information in different layouts, making rigid extraction difficult.
Extract a defined set of fields, check their format and business meaning, and request verification where confidence or completeness is insufficient.
Employees spend time searching approved documents for process guidance.
Design retrieval around authorized sources, present supporting references where possible and preserve human responsibility for decisions.
COMMON QUESTIONS
The workflow defines which actions can be automated and which require approval. We do not assume unrestricted autonomous decision-making. Higher-impact actions need controls appropriate to the use case.
We evaluate outputs against agreed quality checks, validate structure and rules, and route exceptions or uncertain results for human review. No AI system has perfect accuracy.
Data classification, access, retention and provider requirements must be reviewed before implementation. The selected architecture depends on the information involved and your requirements.
Pricing is scoped after reviewing the task, data, evaluation needs, integrations, safeguards and operating costs. A focused assessment can clarify feasibility before committing to implementation.
We review the users, systems, rules, dependencies and acceptance criteria before proposing a delivery plan. Timing depends on the agreed scope, access to systems, feedback and third-party requirements.
We assess the available APIs, interfaces, access permissions and operational constraints. Where an API is unavailable, other approaches may be possible after a feasibility review. We do not assume every system can be connected.
CONNECTED CAPABILITIES
LET’S MAKE IT WORK
Tell us where work slows down, what you want to build, or which systems need to work together.