AUTOMATED INTELLIGENCE LIMITED
Company number NI603151 · Monitor this company
This analysis was written by an AI from the company's public filings. It may contain errors or omissions and is not financial or professional advice.
Industry Analysis: Automated Intelligence Limited
1. Industry Classification
Sector: Software Development (SIC 62012 — Business and domestic software development) Sub-sector: Enterprise Data Management & Information Governance
Automated Intelligence operates within the UK's competitive enterprise software market, specifically in the data quality, information governance, and cloud migration niche. This sub-sector sits at the intersection of regulatory compliance (GDPR, FOI) and digital transformation, serving predominantly public sector and regulated enterprise clients. The Northern Ireland base places the company within a recognised regional tech cluster, with access to Invest NI support frameworks and a lower cost base than London/South East equivalents.
The sector is characterised by high upfront R&D costs, long sales cycles (particularly in public sector procurement), and the constant pressure of platform consolidation from larger vendors such as Microsoft, OpenText, and Micro Focus.
2. Relative Performance
The financial trajectory of Automated Intelligence is deeply concerning when measured against sector norms:
| Metric | FY2024 | FY2023 | FY2022 | Industry Benchmark Commentary |
|---|---|---|---|---|
| Net Assets | (£2.15M) | (£1.21M) | £0.13M | Software SMEs typically maintain positive net assets; negative equity of this magnitude signals severe distress |
| Shareholders' Funds | (£8.41M) | (£7.47M) | (£6.13M) | Accumulated losses of this scale are atypical — most venture-backed software firms achieving scale would show improving reserves by year 14 |
| Cash | £212k | £198k | £148k | Marginal improvement, but critically low for a 30-employee software business (roughly 1 month of operating runway at typical sector salary costs) |
| Debtors | £91k | £628k | N/A | An 85% collapse in debtors suggests either significant revenue contraction, bad debt write-offs, or both |
| Total Assets | £311k | £842k | £1.10M | 73% asset erosion over two years is exceptional deterioration |
Key observations against sector norms:
- Solvency: Net current liabilities of (£2.08M) represent a severe working capital deficit. The typical UK software SME maintains a current ratio above 1.5; Automated Intelligence's current ratio is approximately 0.13 — far below any acceptable threshold.
- Capital Structure: Share capital and share premium totalling £6.26M indicates substantial historical equity investment (likely from Kernel Capital and founder injections), but the £8.41M accumulated loss has entirely consumed this and more. The P&L reserve deterioration of £938k in FY2024 alone suggests continued operational losses.
- Bank Debt Dominance: Bank loans and overdrafts of £2.36M represent 99% of current liabilities. This level of creditor concentration in a single bank lender is a significant vulnerability — sector norms would show more diversified funding.
- Asset Base: With net book value of tangible assets at just £2,066 and intangibles at £5,347, the company has essentially fully depreciated/amortised its historical investment base. For a software company, this suggests minimal ongoing capital investment in IP or product development.
3. Sector Trends Impact
Several market dynamics are relevant to understanding Automated Intelligence's position:
Positive Sector Tailwinds (which the company appears unable to exploit): - Cloud migration acceleration: Post-pandemic, organisations continue migrating on-premise data estates to Microsoft 365, Azure, and AWS — precisely the use case Automated Intelligence's website describes. - Regulatory pressure: GDPR enforcement, FOI compliance, and emerging AI governance requirements drive demand for data classification and information management tools. - Public sector digital transformation: The UK public sector remains a significant addressable market for data management solutions.
Negative Sector Headwinds: - Platform consolidation: Microsoft's native information governance capabilities (within M365 Purview) continue to mature, reducing the addressable market for third-party tools. This "platform absorption" risk is the single largest strategic threat to niche data management vendors. - Procurement compression: Public sector budgets remain constrained, with longer procurement cycles and increased competitive tendering pressures. - Venture capital withdrawal: The Northern Irish VC ecosystem has contracted, with Kernel Capital (the company's PSC) facing its own fund lifecycle pressures. The absence of follow-on funding is evident in the balance sheet deterioration. - Cost inflation: Software salary inflation in the UK and Ireland (particularly for cloud architects and data engineers) has compressed margins for SMEs unable to scale revenue proportionately.
4. Competitive Positioning
Assessment: Distressed former contender, not a current competitor
Automated Intelligence's positioning can be characterised as follows:
Historical Strengths (now eroded): - Early mover in the Northern Irish enterprise software space with a 14-year operating history - Venture backing from Kernel Capital provided credibility and patient capital - Apparent public sector footprint (typical for Belfast-based enterprise software firms) - 30-person headcount suggests a team of meaningful scale at some point
Current Weaknesses: - Going concern viability: The "Active — Proposal to Strike off" status is the most critical signal. This Companies House designation means a third party has applied to strike the company from the register (typically for non-filing or at the company's request). While this can be challenged, it signals either administrative neglect or intentional winding-down. - Overdue confirmation statement: The overdue filing for the confirmation statement reinforces concerns about basic corporate governance and administrative capacity. - Negative equity depth: At (£2.15M) net liabilities and (£8.41M) accumulated losses, the company is technically insolvent and dependent on creditor (bank) forbearance for continued trading. - Revenue collapse indicator: The 85% drop in debtors (from £628k to £91k) is the most alarming metric. In a software business, debtors typically represent billed but uncollected revenue. This decline suggests either: - Revenue has fallen dramatically (most likely) - Significant bad debt write-offs occurred - A change in revenue recognition or billing practices - Minimal reinvestment: Near-zero net book value on both tangible and intangible assets indicates the company is not investing in product development — a terminal position for a software business dependent on technical currency. - Competitive marginalisation: Against competitors like AvePoint, Metalogix (now Quest), and Veritas in the data migration/governance space, Automated Intelligence lacks the scale, product investment, and financial resources to compete effectively.
Ownership and Governance Concerns: The PSC structure reveals a potentially unstable ownership dynamic: - Bank of Ireland Kernel Capital Growth Fund (25-50%) — a venture fund likely approaching or past its investment horizon - Three individual PSCs (Edward Phillips, Mark James Godfrey, Simon Cole) each with 25-50% ownership — this level of fragmentation can impede decisive action in a crisis - Seven directors listed (including an Icelandic national), which is unusually high for a 30-person company and may indicate legacy board composition from investor representation