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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
Own the model, own the margin with purpose-built finance AI

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

// CUSTOM CODE CALCULATOR WILL BE HERE //
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.
  1. Set invoices
  2. Watch SaaS cost climb
  3. See the LogiNet price cap drop
Invoices this month:
  • (slider 0–50k; tick stops: 1k, 5k, 10k, 25k, 50k)
Average invoice complexity:
  • Simple receipt/expense (~600 tokens)
  • Standard invoice 1–2 pages (~1,500 tokens) (default)
  • Complex invoice with many line items (~4,000 tokens)
Bank transactions reconciled per month:
  • slider 0–100k (maps to 20 tokens/line by default; editable in config)
Live counters: SaaS cost £X, LogiNet cost £Y
You save £ X / month

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
Self‒service agent live in eight weeks
  • Went from blank page to live AI prototype in under two months
  • Blended a custom‒trained LLM with secure data pipes and a lean UI
  • Shipped a self‒hosted service bot now streamlining consulting workflows and slashing token spend
Mocxy.ai
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.
Balint & Laci working

Access to a pool of IT & AI experts

Get direct support from our professionals whenever you need extra hands.

Multilingual

expertise

We speak fluent English & work seamlessly across cultures, making collaboration smooth.

Proven success in remote delivery

We’ve delivered complex AI projects remotely: seamlessly, across teams and time zones.

No more abandoned AI projects

We stay post-launch, refining models so your assistant keeps paying off.

Faster time-to-value

Go from kick-off to production in four weeks; see impact in month one.

AI that works, not just excites

Automates invoice capture, expense coding, reconciliations and AR follow-ups.

60–80 % lower token spend

Model routing and lean context turn runaway bills into a controllable line item.

Fixed cost, private cloud or self-hosted

A single, capped fee with containers in your tenant for predictable spend.

Data never leaves your walls

Documents, embeddings and logs stay UK/EU, aligned with SOC 2 and GDPR.

FinOps visibility and alerts

Track cost, throughput and performance with budget thresholds and notifications.

Freedom to switch models

Multi-model design avoids lock-in; swap providers without rewrites.

Access to a pool of IT & AI experts

Get direct support from our professionals whenever you need extra hands.

Multilingual

expertise

We speak fluent English & work seamlessly across cultures, making collaboration smooth.

Proven success in remote delivery

We’ve delivered complex AI projects remotely: seamlessly, across teams and time zones.

No more abandoned AI projects

We stay post-launch, refining models so your assistant keeps paying off.

Faster time-to-value

Go from kick-off to production in four weeks; see impact in month one.

AI that works, not just excites

Automates invoice capture, expense coding, reconciliations and AR follow-ups.

60–80 % lower token spend

Model routing and lean context turn runaway bills into a controllable line item.

Fixed cost, private cloud or self-hosted

A single, capped fee with containers in your tenant for predictable spend.

Data never leaves your walls

Documents, embeddings and logs stay UK/EU, aligned with SOC 2 and GDPR.

FinOps visibility and alerts

Track cost, throughput and performance with budget thresholds and notifications.

Freedom to switch models

Multi-model design avoids lock-in; swap providers without rewrites.

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
Backend core

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
Model-workflow & deployment tools

Commercial foundation-model APIs

OpenAI GPT family, Google Gemini, Anthropic Claude, Microsoft Phi (Phi 4), Alibaba Qwen, Cohere Command-R, Amazon Titan (Bedrock)
Commercial foundation-model APIs

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
Open-source LLMs

Text-to-speech engines

ElevenLabs Voice AI, Microsoft Neural TTS, Google Cloud TTS, Amazon Polly, OpenAI TTS, Murf AI, PlayHT
Text-to-speech engines

Speech-to-text engines

OpenAI Whisper, Deepgram, Google Speech-to-Text, AssemblyAI, Amazon Transcribe, Microsoft Speech
Speech-to-text engines

Computer-vision APIs / libraries

GPT-4o Vision, Azure Vision Studio, Google Vertex Vision, AWS Rekognition, Roboflow, OpenCV
Computer-vision APIs / libraries

Image-generation models / services

DALL·E, Midjourney, Stable Diffusion, Runway (video)
Image-generation models / services

Agentic & workflow frameworks

LangChain, LangGraph, Haystack, Agno, LlamaIndex, AutoGen, CrewAI, Griptape, MetaGPT, ExaTools
Agentic & workflow frameworks

Vector databases / stores

Milvus (Zilliz), Pinecone, Weaviate, Qdrant, Chroma, pgvector, Redis Vector
Vector databases / stores

Embedding model families

OpenAI text-embedding-3, Cohere embed-v3, Google Gecko, Sentence-Transformers
Embedding model families

AI-powered search & retrieval tools

Perplexity, Exa.ai
AI-powered search & retrieval tools

Optimization engine

NumPy, SciPy, Pandas, OR-Tools (CP-SAT, VRP, MIP)
Optimization engine

Machine-learning stackBackend core

scikit-learn, LightGBM, XGBoost, TensorFlow / Keras, SHAP
Machine-learning stackBackend core

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
Backend core

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
Model-workflow & deployment tools

Commercial foundation-model APIs

OpenAI GPT family, Google Gemini, Anthropic Claude, Microsoft Phi (Phi 4), Alibaba Qwen, Cohere Command-R, Amazon Titan (Bedrock)
Commercial foundation-model APIs

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
Open-source LLMs

Text-to-speech engines

ElevenLabs Voice AI, Microsoft Neural TTS, Google Cloud TTS, Amazon Polly, OpenAI TTS, Murf AI, PlayHT
Text-to-speech engines

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?
Yes. We convert variable, per-token charges into a fixed monthly cost with clear £ per invoice economics. With RAG and model routing, firms typically cut token spend 60–80%, so AI bookkeeping automation and AP/AR workflows stop eroding file margin.
What if OpenAI or Anthropic raise prices overnight?
Your stack is self-hosted or private cloud and model-agnostic. If a provider changes tariffs, we can re-route to lower-cost models (including open source) without rewrites—keeping AI solutions for accounting firms predictable and budget-safe.
We already pay for a SaaS finance-AI tool; why isn’t that good enough? Why build your own accounting AI assistant?
SaaS wrappers charge for convenience but still meter tokens, and you can’t optimise the prompt stack. With LogiNet’s on-prem pipeline you own the knobs: shorter context windows, model routing, open-source fallbacks. Savings average 68 % versus the “easy button” subscriptions.

Data, compliance & governance

Where does financial data live?
In your UK/EU tenant. Documents, embeddings and logs stay inside your cloud. We align with SOC 2 and GDPR and provide exportable audit trails—critical for AI regulatory compliance software needs.
Is the solution compliant for audit work?
Yes. We support AI in financial auditing with versioned prompts, source citations, evidence links and read-only permissions where needed. You control who can push content into the retrieval index.
Who owns our embeddings and indexes if we part ways?
You do. All embeddings, indexes, prompts and orchestration code are yours—so your team or any partner can continue operating the system. No vendor lock-in.
Can we keep sensitive ledgers off-limits?
Yes. You can scope retrieval by source, client, entity or ledger and enforce role-based access—handy for restricted wealth management or board materials.

Accuracy, control & risk mitigation

How do you reduce errors or “hallucinations” in finance contexts?
Retrieval-first answers, strict citation requirements, confidence scores, and source whitelists minimise risk. For tasks like AI financial data analysis or AI cash flow forecasting, we expose assumptions and timestamps in every response.
Can we cap risk by use case?
Yes. Set guard-rails and approval flows by workflow (e.g., AP coding can auto-suggest; tax research may require reviewer sign-off). High-risk prompts can be routed to a supervisor queue.
How do we stop staff over-trusting the assistant?
You set a ‘confidence floor’. Anything, say, 0.83 surfaces with a red badge: “Draft: requires human review.” It trains healthy scepticism rather than blind acceptance.
Does the model learn from our client data?
Fine-tuning and embeddings happen inside your tenant; nothing is shared to public endpoints. You decide what is indexed and for how long.

Implementation, integration & upkeep

 How long from signature to first production chat?
Typical path: 1 week discovery → 2 weeks build → 1 week staged rollout. Four weeks to your first on‑prem answer.
What internal resources do we need?
One technical contact (≈½ day/week), a finance champion, and a staging dataset. We provide infra scripts and manage the deployment so your team stays focused on the close.
Will we need to buy GPUs or commit to long cloud reservations?
Not necessarily. We right-size the footprint to your volumes. Many start on a modest private-cloud setup and scale containers later. The goal: fixed, auditable cost, not open-ended usage.
Can we expand beyond AP/AR later?
Yes. The same stack powers predictive analytics for finance, AI financial forecasting tools, AI financial planning software, policy chat for controllers, and even AI solutions for wealth management firms—all within your tenant.

Done exploring? Let’s start building.

You’ve got the answers. Now let’s build the artificial intelligence tools your accounting team actually needs.
💸 Finance AI ROI calculator

Need the numbers on paper? Grab the cost‒cutting playbook

  • Make the case for AI investment
  • Quantify per-invoice efficiency gains
  • Prove predictable ROI your CFO will trust
Legal AI cost-cutting playbook

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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

…or simply book a 30‒minute AI cost audit on Calendly