AI-BOB Cuts Compliance Reviews from Days to Minutes Using Opper

aibob.io

About AI-BOB

Compliance, embedded in the construction process.

AI-BOB is a Stockholm-based ConTech startup on a mission to eliminate costly design errors and compliance risks across the construction industry. They integrate directly into architectural tools like Revit, enabling real-time compliance validation for accessibility, fire safety, other building regulations and customer requirements.

The Challenge

Turn plain-language requirements into reliable, auditable checks at scale.

Compliance in construction is both critical and complex. Manual checks can take weeks, are prone to human error, and often miss details — leading to costly redesigns, project delays, and increased risk exposure for every party involved.

AI-BOB set out to:

  • Translate plain-language requirements (e.g. “all apartments shall be accessible according to the Swedish standards”) into precise validation tasks.
  • Provide fast, reliable checks embedded in Revit without disrupting architects’ workflows.
  • Ensure transparent, auditable results that all relevant stakeholders across projects can trust.

The Solution

Opper adds a structured interface to AI, evals, and tracing so AI-BOB can ship dependable automation.

To deliver reliability at scale, AI-BOB is using Opper AI’s Task Completion API. Opper’s developer-friendly interface made it simple to wire tasks, schemas, and evals without heavy framework overhead.

With Opper, AI-BOB gained:

  • Structured outputs every time: Opper enforces schema-based responses, ensuring validation checks are machine-readable and consistent.
  • Built-in evaluators: AI-BOB defined success criteria for each rule. Opper runs these automatically, catching failures early and routing them to fallback models or manual review.
  • Full observability: Tracing and logging let AI-BOB’s team see every input, output, and evaluation, turning a black box into an auditable system.
  • Reliability at scale: Retries and fallback models keep compliance checks dependable even under heavy load or across different LLM providers.

Results

With Opper, AI-BOB can focus on customer value instead of plumbing.

  • Accuracy: Evaluators and golden datasets ensure jobs are predictable and repeatable, reducing false positives and missed errors.
  • Trust: Clear trace logs mean the AI-BOB team can verify how results were produced, building confidence in automated workflows.
  • Focus: With Opper handling LLM orchestration and reliability, AI-BOB’s team can focus on expanding rule coverage and improving the user experience.

Quote

With Opper we get a data-driven LLM interface with golden datasets, built-in evaluators, and full logging that supports our development efforts and lets me focus on other factors making AI-BOB a success.

Rickard Svedenmark, CTO of AI-BOB.