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Error and Incident Documentation - Agentic AI Business Automation Services in Bangladesh
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Error and Incident Documentation

n8n, Make.com and Zapier automation with AI steps and a human approval check — fixed price, documented on handover.

What Is AI Error and Incident Documentation?

AI error and incident documentation is the written record of what an AI system got wrong, who it affected, how it was found and what was fixed, kept in a form a regulator, an auditor or a customer can read without a walkthrough. Our team in Dhaka, Bangladesh, sets up the incident register, error log, severity matrix and reporting runbook for US, UK and Singapore companies, then writes each incident up within 48 hours of the alert.

Delivered from Dhaka (UTC+6): overnight turnaround for US teams, same-day for the UK and Singapore, so a 48-hour draft never eats into a 15-day clock.
Fixed prices: a $300 readiness audit, then a $900 documentation setup · See pricing →
Book a Readiness Audit Send one AI error
5 days Readiness Audit $300 fixed price
2–3 weeks Documentation Setup $900 fixed price
48 hours Incident write-up $249 per incident
Monthly Managed Incident Desk $699 per month

What is included in an AI incident documentation setup?

Every AI incident documentation setup includes six deliverables. You get an AI system inventory with agreed incident definitions, an incident register and error log inside a tool you already use, a severity matrix tied to the reporting clocks that apply to you, report templates, an escalation runbook with training, and 30 days of incident write-ups after go-live. You receive a working record, not a policy PDF.

 

AI system inventory and incident definitions

Every AI system in scope, its owner, model version and the decisions it touches, with a written line between an error, an incident and a serious incident in your words and the law’s.

 

Incident register and error log

One register in your own Jira, ServiceNow, Airtable or Google Sheets, with fields for detection date, awareness date, affected people, severity, evidence links, owner and status.

 

Severity matrix and reporting clocks

Four severity levels mapped to who must be told and by when: 72 hours under UK GDPR, three days to Singapore’s PDPC, and the EU AI Act’s 2-, 10- and 15-day Article 73 windows.

 

Report templates

Three templates from one set of facts: an internal post-incident review, a customer or employee notice, and a regulator-format report that follows the structure of the European Commission’s Article 73 template.

 

Escalation runbook and training

Who notices, who decides “is this an incident”, who signs and who files, with the clock start rules written down; a 60-minute recorded training for the people named in it.

 

30 days of incident write-ups

Included with every setup: for 30 days after go-live we write up every incident your register captures, up to three, at no extra cost, so the templates are tested on real events.

Not included: legal advice on whether to notify (we prepare the file; your counsel decides) · filing with regulators on your behalf · fixing the AI system itself, which is covered by output and model validation.

What counts as an AI error or incident?

Error A wrong output caught before it acted on anything: a hallucinated invoice total rejected at the approval step. Logged for trend analysis, not reported.
Incident A wrong output that reached a person or a system of record: a candidate wrongly filtered out, an incorrect payslip issued, a support reply that promised a refund you do not offer.
Serious incident Article 3(49) of the EU AI Act: death or serious harm to health, serious and irreversible disruption of critical infrastructure, a breach of fundamental-rights obligations, or serious harm to property or the environment.
Near miss An error stopped by a human approval step or a confidence threshold. Counted, because a rising near-miss rate is the earliest warning you will get.

Which frameworks does the documentation follow?

EU AI Act Article 73 serious-incident reporting and the Commission’s reporting template; Article 12 and 19 log-keeping; the Article 26 duty on deployers to inform the provider.
ISO/IEC 42001 Annex A control A.8.4 (communication of incidents), A.6.2.8 (event logs) and A.6.2.6 (operation and monitoring), laid out so an auditor finds each record without a mapping exercise.
NIST AI RMF GOVERN 4.3 and MANAGE 4: incidents and errors communicated, response and recovery documented, with owners named.
Data protection UK GDPR Article 33 (72 hours to the ICO) and Singapore PDPA breach notification (three calendar days to the PDPC) whenever an AI incident also involves personal data.

How does AI incident documentation work, step by step?

Our AI incident documentation runs in four fixed-price steps: a five-day readiness audit ($300), a two-to-three-week documentation setup ($900), 48-hour incident write-ups ($249 each) and an optional Managed Incident Desk ($699 a month). The record matters more each year: Stanford’s 2026 AI Index counts 362 documented AI incidents in 2025, up from 233 in 2024.

01 5 days · $300
Readiness Audit Inventory of every AI system in scope, a gap review of the logs and tickets you keep today, the reporting clocks that apply to each system, a two-page verdict and a fixed setup quote.
02 2–3 weeks · $900
Documentation Setup Register, error log, severity matrix, three report templates, escalation runbook and training, tested on three past incidents or tabletop drills before sign-off.
03 48 hours · $249
Incident write-up From your alert to a signed draft: timeline, evidence, affected records, root cause, corrective action and, where the severity calls for it, a regulator-format report ready for counsel.
04 Monthly · $699
Managed Incident Desk Up to three write-ups a month, a monthly error-log review, a quarterly trend report for your board or audit committee, and register upkeep as systems change.

How much does it cost?

Setting up AI incident documentation with us costs $1,200 in fixed fees and is live in three to four weeks: $300 for the readiness audit and $900 for the setup. After that you pay $249 per incident write-up, or $699 a month for the Managed Incident Desk. For testing outputs before they reach anyone, see output and model validation; for the wider assurance line, see our AI services.

Team AI assurance analysts in Dhaka
Tools Your Jira, ServiceNow, Airtable or Sheets
Communication Shared channel, 48-hour draft SLA, monthly report

Why choose us for AI incident documentation?

Most companies now run AI in production but few keep a record they would show a regulator. The AI Index’s 2026 survey with McKinsey found the share of organisations rating their own AI incident response “excellent” fell from 28% to 18% in a year. We fix the record, not the rating: fixed prices, a 48-hour draft on every incident, templates mapped to the law and the standards, and everything stored in accounts you own.

Published fixed prices — every step is priced before you start, from the $300 readiness audit to the Managed Incident Desk at $699 a month.
48-hour drafts — every incident write-up is delivered within two working days of your alert, so the decision to notify is made on day two, not day fourteen.
Tested before sign-off — the setup is run against three past incidents or drills, and you sign off only when the register and templates capture them cleanly.
Mapped, not invented — fields and templates follow EU AI Act Article 73, ISO/IEC 42001 A.8.4 and NIST AI RMF GOVERN 4.3, so no auditor has to translate our format into theirs.
You own everything — the register lives in your tool, the templates are editable files, and our access is removed when the engagement ends.
Named contracts — GDPR Article 28(3) processor terms, the ICO IDTA or UK Addendum for UK clients, and PDPA-compliant clauses for Singapore, signed before we see a single log.
362 Documented AI incidents recorded in 2025, up from 233 in 2024 and fewer than 100 a year before 2022. Source: Stanford HAI, 2026 AI Index Report, Responsible AI chapter
15 days Maximum time under EU AI Act Article 73 to report a serious incident after becoming aware of it; 10 days where a person has died, 2 days for a widespread infringement. Source: European Commission AI Act Service Desk, Article 73
18% Organisations that rated their AI incident response “excellent” in 2025, down from 28% in 2024, while the share reporting three to five incidents rose from 30% to 50%. Source: AI News on the 2026 AI Index, 16 April 2026
Case studies: This service line launched in 2026; anonymised incident write-ups and client case studies will be added here as engagements complete, with each client’s permission.
Free 30-minute incident review Send us one AI error your team dealt with last quarter. You get a written note on how it should have been recorded, which clocks it would have started and what it would cost to document properly, whether or not you hire us.

Send one AI error

Is it safe to outsource AI incident documentation?

Outsourcing AI incident documentation is safe when the file is built inside your systems and the safeguards are signed first. Incident files are sensitive by nature: they contain the evidence of what went wrong, so every engagement opens with a mutual NDA, a data processing agreement and least-privilege access, we work from redacted exports wherever possible, and we keep no copies after handover.

Contracts and transfers

Which agreements are signed, and when?

NDA — mutual, signed before we see any log, ticket or output.
DPA — the processor terms required by Article 28(3) of the GDPR and the UK GDPR, for any incident file that contains personal information.
UK clients — the ICO’s International Data Transfer Agreement (IDTA) or the UK Addendum to the EU Standard Contractual Clauses.
Singapore clients — contract clauses that meet the PDPA Transfer Limitation Obligation (section 26), based on the ASEAN Model Contractual Clauses.
US clients — SOC 2 readiness roadmap available on request; certifications are listed only when held.
Controls, privilege and service levels

What access, privilege and rework terms apply?

Access Read access to logs and tickets in scope, edit access to the register in your tool, named accounts only, removed at handover or when the desk ends.
Privilege Where your counsel directs the review, we work under their instruction so the file can be structured the way they need; ask your lawyer before the first incident, not after.
Ownership Register, templates, runbook and every write-up are yours from day one; we retain no copies after the engagement.
Rework Free when a write-up misses the agreed template or the 48-hour draft window; changes of scope are priced first as a change request.
Request our NDA, DPA and IDTA templates →

AI incident documentation FAQs: cost, deadlines and templates

How much does this cost? See pricing →

What is AI incident documentation?

AI incident documentation is the written record of what an AI system got wrong, who or what it affected, when it was detected, when your team became aware, what caused it and what was corrected. It lives in an incident register, is written to a fixed template, and is kept so that a regulator, auditor, insurer or customer can read it without a walkthrough.

How much does AI incident documentation cost?

With Eicra Soft, setting up AI incident documentation costs a fixed $1,200: a $300 five-day readiness audit and a $900 documentation setup, live in three to four weeks. After that, each incident write-up is $249 with a 48-hour draft, or the Managed Incident Desk covers up to three write-ups a month plus a monthly error-log review for $699 a month.

What are the EU AI Act Article 73 reporting deadlines?

Article 73 of the EU AI Act requires providers of high-risk AI systems to report a serious incident to the national market surveillance authority no later than 15 days after becoming aware of it, within 10 days if a person has died, and within 2 days for a widespread infringement or a serious and irreversible disruption of critical infrastructure. An incomplete initial report may be filed first, followed by a complete one. The wider high-risk regime was deferred to 2 December 2027 by Regulation (EU) 2026/1744; commentators disagree on whether Article 73 moved with it, so we build the record now.

Does the EU AI Act apply to a company in the US, UK or Singapore?

The EU AI Act applies to providers who place an AI system on the EU market and to deployers whose system output is used in the EU, wherever the company is based. Companies outside the EU with no EU users usually face other clocks instead: 72 hours for a personal-data breach under UK GDPR Article 33, three calendar days to notify Singapore’s PDPC under the PDPA, and state-level rules such as Colorado SB 26-189 from 1 January 2027. Our readiness audit maps which clocks apply to each of your systems.

What should an AI incident report include?

An AI incident report should include the system and model version involved, a timeline from first wrong output to detection to awareness to containment, the people or records affected and how many, the evidence (logs, prompts, outputs, approvals), the root cause, the corrective and preventive action, who decided what and when, and whether any external notification was required. Our template follows this order so the same file serves an internal review, a customer notice and a regulator report.

How is an AI error different from an AI incident?

An AI error is a wrong output that was caught before it acted on anything, such as a hallucinated invoice total rejected at the approval step; it is logged for trend analysis but not reported. An AI incident is a wrong output that reached a person or a system of record, such as a candidate wrongly filtered out or an incorrect payslip issued. A serious incident, under Article 3(49) of the EU AI Act, is one that directly or indirectly leads to death or serious harm to health, serious and irreversible disruption of critical infrastructure, a breach of fundamental-rights obligations, or serious harm to property or the environment.

We already have an IT incident process. Why do we need this?

IT incident tools such as PagerDuty, incident.io or Jira Service Management record outages: a service was down, and it came back. AI incidents are different: the system stayed up and produced a confident wrong answer, so there is no alert, no downtime and often no ticket. AI incident documentation adds the fields these tools do not capture by default: model version, prompt and output evidence, affected individuals, awareness date and the regulatory clock. We build it inside the tool you already use rather than replacing it.

What fields should an AI incident log have?

A usable AI incident log has at least: incident ID, system and model version, date of first wrong output, date detected, date your organisation became aware, severity level, category (accuracy, bias, privacy, safety, security), affected people or records and count, evidence links, containment action, root cause, corrective action, owner, external notification required (yes/no, to whom, deadline, date sent) and status. We set this up in Jira, ServiceNow, Airtable or Google Sheets, whichever your team already opens every day.

How does this relate to ISO/IEC 42001 and NIST AI RMF?

ISO/IEC 42001 Annex A control A.8.4 requires an organisation to communicate AI incidents and keep the records that prove it did; A.6.2.8 requires event logs and A.6.2.6 requires operation and monitoring records. NIST AI RMF GOVERN 4.3 and MANAGE 4 expect incidents and errors to be communicated and response and recovery to be documented. Our register and templates are laid out against these controls, so an auditor can find each piece of evidence without a mapping exercise.

Who decides whether an incident must be reported to a regulator?

Your organisation does, normally your legal counsel or data protection officer. We prepare the file: the facts, the timeline, the severity assessment against the legal definitions and a draft report in the required format, delivered within 48 hours so the decision is made on day two, not day fourteen. We do not give legal advice and we do not file with authorities on your behalf.

What access do you need to our systems?

Read access to the logs, tickets and approval records for the AI systems in scope, plus edit access to the register we build in your own tool. Wherever possible we work from exports with personal data redacted. Work starts after a mutual NDA, personal data is handled under a data processing agreement, our access is least-privilege and named, and it is removed at handover or when the Managed Incident Desk ends.

Who owns the register and reports if we stop working together?

Your company does, from day one. The register lives in your own Jira, ServiceNow, Airtable or Sheets account, the templates and runbook are delivered as editable files, and every write-up is stored in your systems, not ours. When the engagement ends you keep everything and our access is removed.

Start with a five-day AI incident readiness audit, $300 fixed. You leave with an inventory of your AI systems, the reporting clocks that apply to each one and a fixed setup price, whether or not you hire us.
Book a Readiness Audit Send one AI error