Engineering services
Data & AI engineering, beyond fraud detection
The engineering practice behind the ScopeFlow platform also builds pipelines, AI automation and custom AI tools for companies. Each engagement starts with a scoping call.
AI Automation
Manual, repetitive workflows turned into automated systems: the LLM-powered glue between the tools your team already uses.
- LLM APIs
- n8n / custom workers
- Webhooks
- Python
What problem does AI Automation solve?
Someone on your team spends hours a week doing the same copy-paste, triage, or data-entry work between tools that don't talk to each other: Slack to spreadsheet, inbox to CRM, support ticket to internal doc. It's not hard work, but it's constant, error-prone, and it doesn't scale with headcount.
What do you get with AI Automation?
- A working automation connecting the specific tools you use, not a generic template
- LLM steps only where judgment is actually needed (triage, summarization, classification), with deterministic logic everywhere else, so it stays predictable and cheap to run
- Error handling and a fallback to a human when the automation isn't confident
- Documentation so your team can modify it without me
Data Systems & Pipelines
Reliable ELT pipelines and cloud data infrastructure: the kind that runs unattended and pages you only when it actually matters.
- dbt
- Airflow
- Snowflake
- Kafka
- AWS
What problem does Data Systems & Pipelines solve?
Your data lives in five different tools, someone manually exports CSVs to build the monthly report, and the one dashboard that matters breaks silently whenever a source system changes its schema. There's no single source of truth, and nobody fully trusts the numbers.
What do you get with Data Systems & Pipelines?
- A documented ELT pipeline (dbt/Airflow) from your actual sources into a warehouse you own
- Tests and alerting on the data itself, not just the infrastructure, so a broken pipeline is loud, and bad data is louder
- A staging/mart layer structure your team (or future analysts) can actually extend
- A handover that doesn't leave you dependent on me to keep it running
Custom AI Tooling & Integrations
Purpose-built internal tools and API integrations that plug AI into your existing stack instead of bolting on another dashboard.
- Next.js
- Python
- REST/GraphQL APIs
- Vector search
What problem does Custom AI Tooling & Integrations solve?
You need something that doesn't exist as an off-the-shelf SaaS product: an internal tool, a bespoke integration between two systems, or an AI feature inside a product you already have. Generic no-code tools hit a wall; a full agency engagement is overkill.
What do you get with Custom AI Tooling & Integrations?
- A scoped, purpose-built tool or integration, not a platform you now have to maintain forever
- Clean integration with your existing auth, data, and APIs instead of a bolted-on silo
- Sensible defaults on cost/latency for any LLM calls involved
- Source code you own, with enough documentation to hand it to another engineer later
Prove it on your own cases in 30 days
Pick one document type and one team. We deploy inside your network, test on files you already know are fraudulent, and hand you a written report.