Join our customers
Own the model, own the margin with purpose‒built finance AI
Practical AI solutions for accounting firms: artificial intelligence for accountants that streamlines operations, accelerates close, and cuts costs. Self-hosted or private cloud, SOC 2 and GDPR aligned.
FP&A, forecasting and advisory
- Machine learning for finance & predictive analytics for finance for variance and risk forecasts
- AI cash flow forecasting & AI financial data analysis for controller-grade insights
- AI tools for corporate finance & AI financial planning software to model per-client economics and scenarios
Accounting and bookkeeping automation
- AI bookkeeping automation to categorise expenses, reconcile accounts and generate reports
- AI invoice processing software with AI accounts payable automation and AI accounts receivable automation
- AI reconciliation software for high-volume bank matching, plus AI expense management software and AI-powered payroll systems
Tax and compliance intelligence
- AI tax preparation software for firms to extract data, spot deductions and ensure compliance
- Tax research using artificial intelligence for accountants for authoritative, fast answers
- AI in financial auditing for anomaly detection and evidence links, with AI regulatory compliance software and audit trails
Ready to cut costs and take control?
If a fixed-fee, private AI solution for accounting firms sounds like exactly what you need, let’s talk.
💸 Cut your accounting firm’s AI spend
Calculate the savings your firm could bank with our AI solutions
How much are tokens costing your month-end close?
Set monthly invoices and complexity to see, in pounds and pence, what metered GPT usage really costs—then compare it to a fixed-fee LogiNet build.
Monthly cost comparison
£0
£25
£50
£75
You Save
£60
per month
Annual Savings
£720
How self‒hosted accounting AI delivers ROI in just four weeks
Choose your deployment model
Day 0 — your finance stack, your rules
- Choose on-prem, private cloud (Azure/Google), or hybrid
- Fixed-fee SoW e-signed in two clicks
- UK/EU data residency set from day one, SOC 2 controls ready
Get your finance AI assistant live
Week 1 — running in your ledger environment
- Open-source LLMs tuned for invoices, expense coding and reconciliations
- Connectors live for AP/AR, bank feeds and GL (Xero, Sage, QuickBooks, NetSuite) with guard-rails tested
- FinOps dashboard enabled: per-invoice unit economics, latency and audit trails
Bank the savings and keep control
Week 4 — results you can forecast
- Token spend down 60–80 % versus rented AI
- AI bookkeeping automation accelerates reconciliations and month-end close
- You own every model, embedding and log; costs stay predictable and auditable
Self‒hosted AI in action: Real client wins
Our AI succes stories
David ODonnel
Founder, Mocxy.ai | AI fueled CX Design agency
"The team at LogiNet International went above and beyond at every possible instance."
LogiNet International developed an LLM wrapper for GPT for a design agency. The team built a customer-facing portal and designed the UI and UX for the platform.
They team went above and beyond to meet the client's needs and identify additional requirements. Their proactive approach and outstanding final product impressed the client.
I will definitely return to this company for more work, and they will be my first recommendation when asked!
Cut manual grind, gain AI speed
See the before and after with AI solutions for accounting firms, from cost per client file to close speed and auditability.
Critical metrics for AI-driven finance
Cost per client file:
Reconciliation cycle time:
Data residency:
Responsiveness at month‒end:
Auditability and controls:
Scaling to peaks:
FinOps visibility:
Onboarding time:
Prompt control:
Vendor risk:
Before AI (manual or SaaS wrapper)
• Variable per-token bills that rise with usage
• Days to match bank lines and journals
• Financial docs and embeddings copied to vendor clouds
• Overtime or long queues during peak
• Manual logging, scattered evidence trails
• Extra licences or overage fees
• Hard to link AI spend to unit economics
• Weeks of procurement and data-export hoops
• Black-box prompts, no control of context windows
• Price hikes, feature removals and lock-in
After LogiNet
self-hosted assistant
• Predictable fixed fee, 60–80% lower token spend
• Same-day matching with AI reconciliation software
• All data, embeddings and logs stay in your UK/EU tenant
• Near-real-time processing; no per-token penalty at peak
• Tamper-proof logs and citations; exportable for audits
• Scale containers without usage surcharges
• Live dashboard shows £ per invoice, latency and volume
• Connectors live in days; Xero, Sage, QuickBooks, NetSuite
• Full tuning of prompts, RAG sources and model routing
• Multi-model support; swap providers without rewrites
Built by experts who’ve been doing AI before it was a buzzword
At LogiNet, we’ve been delivering real-world AI solutions since long before GenAI became a trend. From LLM-based assistants to privacy-first automation, we’ve built AI tools that run inside critical systems—fast, safe, and tailored. Our AI chat agents don’t just answer questions. They understand your business.
Tools and technologies that power your AI success
From open-source models to custom workflows, here’s what drives real-world AI finance tech
Backend core
Python 3.11+ – orchestration, pipelines,
FastAPI – REST & OpenAPI docs,
SQL DB – MariaDB / PostgreSQL (+ time-series ext.), Redis – cache, sessions,
Celery – background tasks / training jobs
Model-workflow & deployment tools
TensorFlow Extended (TFX), PyTorch, ONNX & ONNX Runtime, JAX / Flax, CUDA / cuDNN, NVIDIA TensorRT, Triton Inference Server, Hugging Face Transformers / Diffusers / PEFT, MLflow, PaddlePaddle
Commercial foundation-model APIs
OpenAI GPT family, Google Gemini, Anthropic Claude, Microsoft Phi (Phi 4), Alibaba Qwen, Cohere Command-R,
Amazon Titan (Bedrock)
Open-source LLMs
Llama 3 (8B / 70B), Mixtral 8×22B, TinyLlama, Falcon 180B / 40B, Phi-3-mini (MIT), Qwen-14B / 72B, RWKV, Vicuna / Alpaca / Orca, RedPajama, BLOOM, GPT-J, GPT-NeoX, GPT-Neo
Text-to-speech engines
ElevenLabs Voice AI,
Microsoft Neural TTS, Google Cloud TTS,
Amazon Polly, OpenAI TTS,
Murf AI, PlayHT
Speech-to-text engines
OpenAI Whisper, Deepgram, Google Speech-to-Text, AssemblyAI, Amazon Transcribe, Microsoft Speech
Computer-vision APIs / libraries
GPT-4o Vision, Azure Vision Studio,
Google Vertex Vision, AWS Rekognition,
Roboflow, OpenCV
Image-generation models / services
DALL·E, Midjourney,
Stable Diffusion,
Runway (video)
Agentic & workflow frameworks
LangChain, LangGraph, Haystack, Agno, LlamaIndex, AutoGen, CrewAI, Griptape, MetaGPT, ExaTools
Vector databases / stores
Milvus (Zilliz), Pinecone, Weaviate,
Qdrant, Chroma, pgvector,
Redis Vector
Embedding model families
OpenAI text-embedding-3,
Cohere embed-v3, Google Gecko,
Sentence-Transformers
AI-powered search & retrieval tools
Perplexity,
Exa.ai
Optimization engine
NumPy, SciPy,
Pandas, OR-Tools (CP-SAT, VRP, MIP)
Machine-learning stackBackend core
scikit-learn, LightGBM, XGBoost, TensorFlow / Keras, SHAP
Backend core
Python 3.11+ – orchestration, pipelines,
FastAPI – REST & OpenAPI docs,
SQL DB – MariaDB / PostgreSQL (+ time-series ext.), Redis – cache, sessions,
Celery – background tasks / training jobs
Model-workflow & deployment tools
TensorFlow Extended (TFX), PyTorch, ONNX & ONNX Runtime, JAX / Flax, CUDA / cuDNN, NVIDIA TensorRT, Triton Inference Server, Hugging Face Transformers / Diffusers / PEFT, MLflow, PaddlePaddle
Commercial foundation-model APIs
OpenAI GPT family, Google Gemini, Anthropic Claude, Microsoft Phi (Phi 4), Alibaba Qwen, Cohere Command-R,
Amazon Titan (Bedrock)
Open-source LLMs
Llama 3 (8B / 70B), Mixtral 8×22B, TinyLlama, Falcon 180B / 40B, Phi-3-mini (MIT), Qwen-14B / 72B, RWKV, Vicuna / Alpaca / Orca, RedPajama, BLOOM, GPT-J, GPT-NeoX, GPT-Neo
Text-to-speech engines
ElevenLabs Voice AI,
Microsoft Neural TTS, Google Cloud TTS,
Amazon Polly, OpenAI TTS,
Murf AI, PlayHT
Artificial intelligence for accountants: what to know before you deploy
Cost & ROI clarity
We bill by the client file. Will a fixed-fee model really improve margin?
What if OpenAI or Anthropic raise prices
overnight?
We already pay for a SaaS finance-AI tool; why isn’t that good enough? Why build your own accounting AI assistant?
Data, compliance & governance
Where does financial data live?
Is the solution compliant for audit work?
Who owns our embeddings and indexes if we part ways?
Can we keep sensitive ledgers off-limits?
Accuracy, control & risk mitigation
How do you reduce errors or “hallucinations” in finance contexts?
Can we cap risk by use case?
How do we stop staff over-trusting the assistant?
Does the model learn from our client data?
Implementation, integration & upkeep
How long from signature to first production chat?
What internal resources do we need?
Will we need to buy GPUs or commit to long cloud reservations?
Can we expand beyond AP/AR later?
Done exploring? Let’s start building.
You’ve got the answers. Now let’s build the artificial intelligence tools your accounting team actually needs.
💡 The AI implementation reality check
Real costs. ROI ranges. Readiness. Spelled out.
Get a no-nonsense guide that helps you answer three things fast:
- Costs: clear bands for tools, integration, training, support.
- Returns: ROI ranges by use case, from service to finance.
- Readiness: one check: real problem, usable data, budget, buy-in.
Download now!
Drop in your work email and we’ll send you a 25-answer Q&A guide covering: cost breakdowns, expected payback, and a simple readiness test you can run this week.
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Fresh thinking from LogiNet
AI resource centre: watch, learn, implement
From pilot to pay‒off: turning AI experiments into real ROI (2025 edition)
What’s inside the video?
- Why chasing an “AI strategy” is a distraction, focus on profit leaks first.
- Where to start: back-office workflows vs. client-facing experience.
- Concrete ROI wins in support and sales (transferable to legal ops).
- The truth behind the hype: 80 % of great AI is disciplined software engineering.
- Live demo: a self-hosted voice agent resolving real customer calls, no SaaS lock-in, full control.
Ready to shrink your AI bill? Book your 30‒minute AI cost audit
Share a few details and we will confirm a time, benchmark your current AI spend, and outline a self-hosted roadmap that cuts costs while keeping every document inside your own infrastructure.
John Radford
Client Services Director UK
Current AI tools used
Select one or more options
…or simply book a 30‒minute AI cost audit on Calendly
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