Responsible enterprise AI · Built with Claude

Enterprise AI you can prove is trustworthy.

EthicalAISoftware designs, builds and ships accountable, GDPR-aligned AI on Anthropic's Claude — where every decision is explainable, every model stays under human oversight, and responsible-AI guardrails are built in, not bolted on.

Anthropic Claude Partner GDPR-aligned Human-in-the-loop Full audit trail
Trustworthy AI decision dashboard An abstract product illustration of a guarded Claude decision flow: a glassy dashboard card showing an approved decision passing through human review and audit logging, with a gradient glow and floating compliance chips. eai-guarded-v1.0 Decision flow request Lending case Claude + guardrails audit_log policy: gdpr-lending-2026 approved human oversight Human review Audit log EU GDPR Explainable
A team that has shipped GDPR-aligned AI and mission-critical systems across banking, government & large enterprise — now building on Anthropic's Claude.

Claude Partner Network

Member of the Claude Partner Network.

EthicalAISoftware is an Anthropic Claude Partner. We build on Anthropic's Claude models — applying their safety-first design alongside our own responsible-AI guardrails to deliver production systems enterprises can trust.

PARTNER NETWORK Claude Partner

Services

Three ways we put responsible AI to work.

From custom builds to Claude implementation to standing up your in-house AI capability — delivered with engineering rigor and responsible-AI guardrails throughout.

Build

Developing with AI

Custom AI software development, end to end. We design, build and ship production AI applications — LLM apps, autonomous agents, automation and integrations — with the engineering rigor of a software team and responsible-AI guardrails wired in from day one.

Claude Partner

Claude Projects & Implementation

As a Claude Partner, we implement Anthropic's Claude across the enterprise: Claude Projects, the API and Agent SDK, tool use, RAG, and prompt & context engineering. We handle security and rollout so initiatives move from pilot to production safely.

AI Office as a Service

AI Wrangler

An outcome-driven program that stands up your in-house AI capability using a scientific method — not an SDLC. We run pilots that are cheap to test and cheap to kill, aligned to business strategy, and hand over a working AI office. See the method →

AI Wrangler — AI Office as a Service

A scientific method for AI, not an SDLC.

Classic software is built to a spec: you know what you get. AI is empirical and probabilistic — you cannot specify a model's output in advance. So the AI Wrangler runs every initiative as an experiment: start with a hypothesis, measure against a target, and iterate.

Pilots run small — cheap to test, cheap to kill — and graduate to scale only once a hypothesis is validated.

SDLC
AI Wrangler
Deterministic
Empirical / probabilistic
Start with a specification
Start with a hypothesis
Output known if built to spec
Unknown until measured
"Done" = meets requirements
"Done" = moved a measured target

The pilot loop · 5 steps + industrialize

The AI Wrangler pilot loop A circular loop of five numbered steps — 1 Set the Goal, 2 Estimate, 3 Evaluate, 4 Apply, 5 Re-evaluate — connected by arrowed arcs, with a branch down to Phase 6, Industrialize and Hand-over at scale, which feeds a feedback arrow back to step 1. 1 Set the Goal HYPOTHESIS 2 Estimate PREDICTION 3 Evaluate BASELINE 4 Apply EXPERIMENT 5 Re-evaluate ANALYZE · SCALE / PIVOT / KILL on SCALE → 6 AT SCALE Industrialize & Hand-over MLOps · runbooks · own production results feed back as new hypotheses →
1Set the GoalHYPOTHESIS 2EstimatePREDICTION 3EvaluateBASELINE 4ApplyEXPERIMENT 5Re-evaluateSCALE / PIVOT / KILL 6AT SCALEIndustrialize & Hand-overMLOps · runbooks · ownership on SCALE ↓ results feed back as new hypotheses

Hypothesis

Set the Goal

Define the outcome and one measurable target — aligned to business strategy, Quarterly Rocks and financials.

Prediction

Estimate

State the testable prediction: roadmap, financials (ROI/TCO), resourcing and readiness across the five pillars.

Baseline

Evaluate

Measure the target metric before any intervention — the arrow on the target right now, so there's something to compare.

Experiment

Apply

Build and run the intervention through a slim Scrum loop — experiment-driven sprints where each backlog item is a hypothesis.

Analyze

Re-evaluate

Re-measure against baseline and estimate, then decide: Scale, Pivot, or Kill — and loop. Only "Scale" exits the pilot.

At scale · Graduation

Industrialize & Hand-over

The only phase that runs at scale: hardening, MLOps and monitoring, runbooks and training, then a formal hand-over to the engineering and ops teams who will own it — feeding production results back as new hypotheses into Step 1.

Aligned to strategy

Every goal hangs off a strategic priority, Quarterly Rock and financial estimate — not a science project.

Executive engagement

Structured monthly rhythm with the CEO, CTO and business leaders to keep AI tied to outcomes.

Ethics & Governance

An Ethical AI checklist overlays every step and pillar — guardrails, decision logging and accountability throughout.

Cheap to test, cheap to kill

Pilots stay small until a hypothesis is validated, so the organization learns fast without betting big.

Responsible AI

Governance that travels with every model.

We wrap your AI in the controls regulated organizations require — accountability, human oversight and auditability — without slowing your teams down.

  • Accountable by design — every output traces to its inputs, model version and policy
  • Human-in-the-loop approval gates on consequential decisions
  • Auditable end to end — immutable logs of prompts, data, decisions and overrides
  • GDPR-aligned — data minimization, residency and retention you control
// every decision, logged
decision_id: "d_8f21a9"
model: "claude · eai-guarded-v1.0"
policy: "gdpr-lending-2026"
human_review: true
explanation: available
data_retention: "30d · eu-central"
status: approved ✓

In your context

Built by a team that has shipped mission-critical AI.

Banking, government and large-enterprise delivery — the same rigor, now on Anthropic's Claude. Real engagements, real environments, your stack and your auditors.

Compliance posture

Designed to meet the standards that matter.

Our work is engineered to support your obligations and audits across major frameworks.

GDPR EU AI Act readiness ISO/IEC 42001 (AI management) ISO/IEC 27001 practices NIST AI RMF

Frameworks listed reflect the controls our software is designed to support. Specific certifications are pursued per deployment and customer requirement.

Put trustworthy AI to work.

See how EthicalAISoftware fits your stack, your data rules, and your auditors.

Request a demo →

Contact

Talk to us.

Tell us about your use case and constraints — we'll show you what responsible AI looks like in practice. Or email hello@ethicalaisoftware.ai.

Thank you — we'll be in touch shortly.