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Turn professional confusion into crystal clarity

Paste any ambiguous contract, email, decision, or regulatory text. Aimbiguity's AI breaks it down into plain English — with risks flagged and actions recommended. In seconds.

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Aimbiguity — Live Preview
"The supplier may, at its sole discretion, modify the terms of this agreement with 30 days notice, and continued use of the service constitutes acceptance of such modifications…"
📄 Contract Clause
Plain English
The supplier can change the deal terms whenever they want. If you keep using the service after 30 days, you've legally agreed to the new terms — even if you didn't read them.
⚠ Key Risk
You could unknowingly accept unfavourable new terms just by continuing to use the product. No explicit consent required from you.
✓ Recommended Action
Negotiate to add "material changes require written consent" before signing. Or set a calendar alert to review any change notices within 30 days.
"Finally — something that tells me what a contract actually means in plain English."
Live examples

See Aimbiguity in action — click any scenario

Real inputs. Real outputs. This is exactly what you'll get on day one.

⚠️ AI-Assisted Clarity — Not Legal or Regulatory Advice. All outputs from Aimbiguity are generated by AI based on publicly available legal texts, regulatory frameworks, and professional practice guidance. They are designed to help you understand and identify the right questions to ask — not to replace a qualified solicitor, regulatory consultant, or compliance professional. Always verify outputs with a relevant expert before making decisions.
📥 Input — Contract Clause
"The supplier may, at its sole discretion, modify the terms of this agreement with 30 days notice, and continued use of the service constitutes acceptance of such modifications, notwithstanding any prior written agreements to the contrary."
Context: Vendor SaaS Contract Industry: Technology
→
📤 Aimbiguity Output
💬 Plain English
The supplier can change the deal whenever they want. Just by continuing to use the product after 30 days — even without reading the update — you've legally agreed to whatever they changed.
⚠️ Key Risk
You could unknowingly accept unfavourable new pricing, data terms, or liability clauses. This clause overrides any previous written agreements you thought protected you.
✅ Recommended Action
Negotiate to add: "Material changes require explicit written consent from both parties." If they won't budge, set a calendar reminder to review every change notice within 30 days.
🎯 Confidence Score
94% — High confidence. Standard unilateral modification clause.
Contract Law — Unilateral Variation Doctrine EU Contract Law Principles (PECL) Irish Contract Law Practice
AI-assisted analysis only. Not legal advice. Consult a solicitor before signing.
📥 Input — Regulatory Language
"Article 10(3) MDR: The manufacturer shall establish, implement, document and maintain a system for post-market surveillance that is proportionate to the risk class and appropriate for the type of device."
Context: EU MDR Compliance Industry: Life Sciences / MedTech
→
📤 Aimbiguity Output
💬 Plain English
After your device is on the market, you must actively monitor how it's performing in the real world. The amount of monitoring required depends on how risky your device is — higher risk means more rigorous surveillance.
⚠️ Key Risk
Vague wording like "proportionate" and "appropriate" gives regulators wide discretion to challenge your PMS plan. A weak or undocumented system is one of the top reasons for MDR non-conformities during notified body audits.
✅ Recommended Action
Document your PMS plan referencing MDCG 2025-10 guidance. For Class IIb/III devices, ensure your PSUR is updated annually and explicitly maps to your risk classification rationale.
🎯 Confidence Score
91% — High confidence. Directly sourced from EU law and official MDCG guidance.
EU Regulation 2017/745 (MDR) — Article 10 & Articles 83–86 MDCG 2025-10 — PMS Guidance EUR-Lex Official Text
AI-assisted analysis only. Not regulatory advice. Verify with your Notified Body or regulatory consultant.
📥 Input — Ambiguous Work Email
"Hi, just wanted to touch base on the project timeline. I've noticed some things that might be worth discussing before we proceed further. Perhaps we could find some time this week? Let me know what works. — Mark"
Context: Email from Senior Manager Tone: Professional / Internal
→
📤 Aimbiguity Output
💬 Plain English
Mark has concerns about the project — likely around delays, quality, or scope — and wants to discuss them before things go further. The polite tone suggests he's not panicking, but the urgency ("this week") signals it's not trivial either.
⚠️ Key Risk
Ignoring or delaying this could escalate the concern. "Before we proceed further" implies he may want to pause or redirect work — responding slowly could result in a decision being made without your input.
✅ Recommended Action
Reply today. Offer 2–3 specific time slots this week. Before the meeting, prepare a brief status update on timeline, blockers, and any risks — so you control the narrative rather than react to his.
🎯 Confidence Score
82% — Good confidence. Contextual interpretation — more detail would increase accuracy.
Workplace Communication Research Organisational Behaviour Frameworks Professional Context Analysis
AI-assisted interpretation only. Accuracy depends on full context provided.
📥 Input — Job Offer Language
"The role offers a competitive base salary with performance-related remuneration reviewed annually, subject to company performance and individual contribution, with eligibility for our discretionary bonus scheme."
Context: Job Offer Letter Industry: Financial Services
→
📤 Aimbiguity Output
💬 Plain English
Your base salary is fixed, but any bonus is entirely at the company's discretion — they don't have to pay it, and there's no guaranteed amount. "Competitive" is undefined and "discretionary" means no legal obligation to pay.
⚠️ Key Risk
Three layers of ambiguity stack against you: "subject to company performance," "individual contribution," AND "discretionary." In a bad year, all three can be used to pay zero bonus with full legal cover.
✅ Recommended Action
Before signing, ask HR to define: (1) the target bonus % of base salary, (2) what metrics determine "individual contribution," and (3) historical bonus payout rates for the role. Get the answers in writing.
🎯 Confidence Score
97% — Very high confidence. Classic discretionary bonus language, well-established in employment law.
Irish Payment of Wages Act 1991 EU Employment Contract Principles Discretionary Bonus Case Law
AI-assisted analysis only. Not legal advice. Consult an employment solicitor before signing.
📥 Input — Business Decision
"We're deciding whether to expand our SaaS product into the German market now, or wait 12 months until we have more resources. Revenue is growing 20% MoM but the team is stretched and we have no German-language support."
Context: Strategic Decision Stage: Early-stage Startup
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📤 Aimbiguity Output
💬 Plain English
You're choosing between capturing market opportunity now vs. building capacity first. At 20% MoM growth you have momentum — but expanding without support infrastructure risks damaging your reputation in a market that values reliability highly.
⚠️ Key Risk
Germany has strict consumer protection and data privacy (GDPR + BDSG) expectations. Poor German-language support is a trust-killer in this market. Waiting 12 months risks a competitor establishing first-mover advantage.
✅ Recommended Action
Consider a middle path: soft-launch to 20–30 German beta users in the next 60 days with English support, while hiring one German-speaking customer success person. This tests demand without full commitment and prevents competitor lock-in.
🎯 Confidence Score
78% — Moderate confidence. Complex strategic decision — more context improves output.
First-Mover Advantage Theory (Lieberman & Montgomery, 1988) GDPR + German BDSG Lean Startup Methodology (Ries, 2011)
AI-assisted strategic analysis. Not financial or legal advice. Verify market assumptions independently.
📥 Input — EU/GDPR Compliance
"Our US-based data processor stores EU customer data on servers in Virginia. They are SOC2 certified and have signed our DPA. We are unclear if this satisfies GDPR Chapter V requirements for international data transfers post-Schrems II."
Context: GDPR Compliance Query Location: Dublin, Ireland (EU)
→
📤 Aimbiguity Output
💬 Plain English
SOC2 and a signed DPA alone are NOT sufficient for GDPR-compliant US data transfers post-Schrems II. You need a valid transfer mechanism — Standard Contractual Clauses (SCCs) or EU-US Data Privacy Framework (DPF) — plus a Transfer Impact Assessment (TIA).
⚠️ Key Risk
Ireland's DPC is one of Europe's most active GDPR regulators. Non-compliant US transfers have resulted in fines exceeding €1.2B. Your current setup likely has a compliance gap a DPC audit would flag.
✅ Recommended Action
Check if your processor is listed on the US Department of Commerce DPF register at dataprivacyframework.gov. If certified, transfers may be lawful. If not, execute updated SCCs (EU Commission Implementing Decision, June 2021) and document a TIA.
🎯 Confidence Score
89% — High confidence. Based directly on GDPR Chapter V and CJEU Schrems II ruling (C-311/18).
GDPR Reg. (EU) 2016/679 — Chapter V CJEU Case C-311/18 (Schrems II, July 2020) EU-US DPF Adequacy Decision (10 July 2023) EDPB Guidelines on SCCs
AI-assisted analysis only. Not legal advice. Consult a data protection solicitor or your DPO before acting.
Transparency

How Aimbiguity works — and what it's based on

Layer 1 — AI Foundation
Large Language Model via API

Aimbiguity is powered by a leading AI model (Anthropic Claude / OpenAI) trained on hundreds of billions of words including legal texts, regulatory documents, case law, and professional practice guides. It draws on patterns from real, published sources — it does not invent rules.

Layer 2 — Structured Prompting
Context-Calibrated Analysis Framework

Every query is passed through a structured prompt specifying: document type, jurisdiction, user's professional context, and an instruction to always flag when confidence is limited and cite the source framework. This prevents generic answers and forces grounded analysis.

Layer 3 — Human Accountability
You Are Always the Decision-Maker

Every output includes a confidence score, a disclaimer, and a pointer to the relevant professional. Aimbiguity is a starting point — a 2-minute clarity check before your expert consultation. It helps you ask smarter questions. It does not replace the expert.

📚 Primary Sources Behind Our Demo Examples
Use Case Primary Source(s) Where to Verify
Contract Clauses EU Contract Law Principles (PECL); Irish Contract Law; Unilateral Variation Doctrine — established common law lawreform.ie · Westlaw IE
EU MDR / Regulatory EU Regulation 2017/745 (MDR), Articles 10 & 83–86; MDCG 2025-10 PMS Guidance; EUR-Lex Official Journal eur-lex.europa.eu · health.ec.europa.eu
Employment / Job Offers Irish Payment of Wages Act 1991; EU employment contract principles; Discretionary bonus case law irishstatutebook.ie · courts.ie
GDPR / Data Transfers GDPR Regulation (EU) 2016/679, Chapter V; CJEU Case C-311/18 Schrems II (July 2020); EU-US DPF Adequacy Decision (10 July 2023); EDPB SCC Guidelines eur-lex.europa.eu · edpb.europa.eu · dataprivacyframework.gov
Business Decisions First-Mover Advantage Theory (Lieberman & Montgomery, 1988); Lean Startup Methodology (Ries, 2011); Risk/Resource trade-off frameworks Harvard Business Review · Stanford GSB
Workplace Communication Organisational communication research; Workplace conflict de-escalation frameworks; Professional context analysis models Organisational behaviour literature
Important: All Aimbiguity outputs are AI-generated interpretations based on publicly available sources. They are not legal advice, regulatory guidance, or professional opinions. Always consult a qualified solicitor, regulatory consultant, or relevant professional before acting on these outputs. Aimbiguity is a clarity tool — not a replacement for expert advice.
How it works

From confused to confident in 3 steps

01
Paste your text

Copy any contract clause, email, decision, or regulatory text directly into Aimbiguity. No formatting needed.

02
Select context

Tell us what type of document it is — contract, email, HR, regulatory — so the AI calibrates its analysis precisely.

03
Get your clarity report

Receive a plain-English summary, flagged risks, and concrete recommended actions. All in under 10 seconds.

Who it's for

Built for professionals who deal with complexity daily

🧬
Life Sciences Professionals

Regulatory submissions, vendor contracts, trial agreements — clarity without the legal fees.

💼
Startup Founders

Term sheets, investor agreements, SaaS contracts — know exactly what you're signing before you sign it.

🏢
Business Managers

Decode ambiguous instructions, internal policies, and vendor terms without bothering legal every time.

⚖️
HR & Compliance Teams

Audit policies, employment contracts, and GDPR language for gaps and ambiguities before they become problems.

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