AI Practice

Production AI for growing businesses.

Scalewright's AI practice is run by senior data scientists. Hans-Inge Langø, PhD, leads technical delivery, supported by a senior partner team. Not a chatbot shop. We diagnose what's actually slowing your business down, build the system that fixes it, and stay to operate.

See Services See Use Cases

Five services. Published prices.

Five ways we help.

Full SKU detail

Free · 60 minutes

Readiness Conversation

60 minutes. Free. The entry door.

Any business that wants a real-but-quick read on whether and where AI fits. No commitment.

From $2,500 flat · 5 business days

Process Audit

Five business days. Written plan with ROI estimates. Fixed fee.

Teams that want clarity before committing to a build. Especially useful when more than one stakeholder has an opinion.

From $2,000 per month

Advisor Retainer

Senior AI guidance, monthly.

Teams that want ongoing strategic guidance without committing to a build. Often the next step after the Audit.

From $3,000 build, plus monthly operate fee

Build & Operate

We build the system. We stay to run it.

Teams with a specific, measurable workflow problem worth solving. Usually surfaced by the Audit or Readiness Conversation.

From $12,000 per month

Embedded Lead

Part-time AI leadership. Named partner.

Businesses at 50 to 200 employees (or smaller with budget) that need AI leadership but cannot justify a full-time hire.

Who Builds It

Data science experts, not generalists.

Hans-Inge Langø, PhD

Principal Data Scientist

Austin, TX

NLPLLM EvaluationStatistical ModelingLegal TextAzure ML

Data scientist and political scientist working at the edge of AI, policy, and applied research. Hans builds NLP, LLM evaluation, and analytics systems for organizations dealing with complex text, high-stakes decisions, and messy data. Here to help clients turn ambiguity into evidence, workflows, and tools that hold up in the real world.

PhD

Government & Political Science, UT Austin

Prior work

Ropes & Gray LLP, The Carter Center, CSBA

Use Cases

Fifteen patterns and opportunities we have identified.

Filter by sector. Each card shows the problem, what we can build, and the outcome. Spans Legal, Sales, Healthcare, Finance, Operations, Manufacturing, and Trades. Don't see yours? That doesn't mean we can't help. Tell us what you're working on.

See all 15 use cases

Selected Work

Recent AI engagements.

Policy Organization Working With Legal Text

Automated Legal Classification

Build & Evaluate · 2025–2026

Challenge

A policy organization was manually classifying thousands of legal provisions across a large international body of law. The work was slow, error-prone, and hard to keep up with as the corpus grew.

Approach

We built an automated system that reads legal text and tags each provision against the organization's classification framework. The engine is built on BERT, a language model pre-trained specifically on legal documents, meaning it understands legal phrasing the way a domain expert would, not just a general-purpose AI. We fine-tuned it on the organization's own historical classifications. Analysts now review a small set of edge cases instead of everything.

Results

Replaced manual, provision-by-provision review with an automated first pass.
Outperformed GPT-4 on the client's specific classification task.
Reduced false positives so analysts focus only on genuinely ambiguous cases.
Slots into existing workflows with no ongoing token costs. Runs on a fine-tuned model, not a pay-per-query API.

Beat GPT-4

On client's legal task

Want to start with a real conversation?

Book a free Readiness Conversation. 60 minutes, no deck, honest answer on whether AI helps your business right now.

Book a Readiness Conversation