# Aventisia — AI Engineering for the Enterprise > Aventisia is an AI engineering company that puts enterprise AI into production: agents, applications, data pipelines and SLMs, built on Avintra. Source: https://aventisia.com/ Who we are # We engineer how AI behaves _inside your business._ Aventisia is an **AI engineering company**. We help enterprises digitally transform their operations with AI, because we understand how it is engineered, layer by layer, from models and data to guardrails, evaluation, cost and model engineering. [Start your transformation](#contact) [Explore Avintra](https://avintra.aventisia.com/accounts/create-account) What we engineer Workflows AI **Workflows AI** End-to-end processes, orchestrated **Chat AI** Assistants grounded in your data **Voice AI** Agents that listen, talk and act **Email AI** Mail read, classified and actioned **AI Applications** Custom-built for your domain **Insights AI** Answers and alerts from your data What we do ## Enterprise AI, _built by experts._ Our engineers build and run our own AI platform in production. They bring that engineering experience to your projects: agents, data pipelines, instruction tuning, SLM tuning, analytics and more, and own the outcome end to end, from first pipeline to production governance. **AI Applications** _Custom-built for your domain, not off the shelf_ Custom development of domain AI applications that bring AI and human oversight together around your process, engineered with the security, latency and reliability your business runs on. - Domain-specific apps, built to your process - Enterprise portals & workflow-centric web apps - Role-based workspaces & human review queues **AI Agents** _Autonomous work, governed end-to-end_ Deterministic and agentic agents across chat, email, voice and back-office automation, orchestrated with people and systems and kept accountable by human-in-the-loop controls. - Multi-agent orchestration - Tool & MCP integration - Human-in-the-loop guardrails **Data Pipelines** _AI-ready data, continuously_ Ingestion, transformation, vectorisation and quality pipelines that move unstructured and structured enterprise data into the shape AI needs, on your lakehouse or ours. - Unstructured → structured extraction - Embeddings & vector stores - Lineage, quality & observability **SLM Fine-tuning** _Small models, big economics_ Domain-specialised small language models, fine-tuned and evaluated on your data and deployed privately. Built for your tasks, at a fraction of the inference cost and latency of general-purpose models. - LoRA / QLoRA & distillation - Eval harnesses & red-teaming - Private, on-prem inference **AI Analytics & Insights** _From dashboards to decisions_ Conversational analytics, anomaly detection and predictive insights over your operational data, with answers that cite their sources and actions that flow back into workflows. - Natural-language BI - Forecasting & anomaly detection - Insight-to-action automation Back end supplier\_risk/app.py python 1 from avintra import App, Retriever, guardrails 2 3 app = App("supplier-risk-desk") 4 5 retriever = Retriever( 6 sources=\["sharepoint://contracts", "sap://spend"\], 7 embed="bge-m3", rerank=True, top\_k=8, 8 ) 9 10 @app.route("/ask") 11 async def ask(q: str, user: User): 12 ctx = await retriever.search(q, acl=user.groups) 13 answer = await app.llm("claude-sonnet").generate(q, ctx) 14 return guardrails.cite(answer, ctx) \# every claim sourced ▸ output deployed · p95 1.2s · answers cite their sources avintra-accelerated **80%** Front end supplier-risk-desk.app Live **Supplier risk desk** Which supplier contracts expire this quarter? Answer contracts sap spend Not sure where to start? ### Start with a _discovery call_ A clear diagnosis, a defined scope and measurable outcomes, before anything is built. [Book a discovery call](https://aventisia.com/contact/?topic=usecase) How we do it · Our engine ## 80% platform. 20% craft. _100% yours._ Most enterprise AI programmes spend months rebuilding the same plumbing. We start from Avintra, our production-hardened platform, so our engineering goes into the 20% that is unique to your process. L3 · bespoke **20%** Domain logic Custom UX Proprietary data L2 · avintra **80%** Orchestration 500+ connectors Model gateway Human-in-loop Data transforms Evals & tracing RBAC · SSO · audit Cost controls L1 · infra **any** Azure AWS GCP Private cloud On-prem What the platform takes off your project ### Weeks of engineering saved Connectors, orchestration, model routing, human-in-the-loop, evals and access control already exist. We assemble them instead of building them. ### No teething issues Every component already runs in production across 200+ Avintra tenants, so pilots don't stall on first-release bugs. ### No go-live delays Governance, audit trails and ISO 27001 / SOC 2 controls are built in, so security and risk reviews don't hold up the launch. The evidence ### Most AI projects stall between pilot and production. _Proven foundations change the odds._ **67%** success rate for AI bought from specialised vendors or built with partners. Internal builds succeed only a third as often. [MIT NANDA, The GenAI Divide: State of AI in Business 2025](https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/) **88%** of AI proofs of concept never reach wide-scale production. Only 4 in every 33 make it. [IDC research with Lenovo, 2025](https://www.cio.com/article/3850763/88-of-ai-pilots-fail-to-reach-production-but-thats-not-all-on-it.html) **40%+** of agentic AI projects will be cancelled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls. [Gartner, June 2025](https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027) How we do it · Our platform ## Avintra: four layers, _one governed platform._ Every agent we build runs on the same four layers: configure it, connect it, run it and govern it. In our cloud or yours, and ready for your team to run and extend after go-live. 01Configuration 02Integration 03Execution 04Governance **Configuration Layer** Build agents the way the process demands 01 _/ 04_ - Deterministic, rules-based agents where workflows control how AI output is consumed - Agentic agents where AI works autonomously, with human approvals and validations where required - Instructions, skills, knowledge bases and tools, reusable across agents avintra _/_ agent builder Two build modes Deterministic Invoice received AI extracts fields Rule: total under 10k Auto-post Finance review Agentic **AI** Human approval The same platform powers our engagements, the Avintra Cloud and the free, self-hosted Community Edition. [Explore the platform](https://aventisia.com/avintra/) [Get Community Edition](https://aventisia.com/pricing/#community) Why we're different ## We know how AI is engineered, _not just how it's configured._ Most AI vendors work in the front end: select a model, upload documents, switch on a filter. We understand how each of the seven layers is engineered in the back end, and that is what makes AI reliable, governed and economical in production. **Front end**What most vendors configure **The seven layers**Of enterprise AI **Back end**What we engineer 1. _Configured_ Choose a hosted model 7 **Model Engineering** _Engineered_ _Data curation_ _SLM fine-tuning_ _Quantisation_ _Benchmark evals_ 2. _Configured_ Set a spend limit 6 **Cost Engineering** _Engineered_ _Model right-sizing_ _Caching_ _Token budgets_ _Pay-per-run economics_ 3. _Configured_ Rate responses 5 **Evaluation & Observability** _Engineered_ _Golden datasets_ _Automated evals_ _Tracing_ _Regression gates_ 4. _Configured_ Content filter 4 **Guardrails & Human-in-the-Loop** _Engineered_ _Policy engine_ _PII redaction_ _Approval queues_ _Role-based access_ 5. _Configured_ Drag steps onto a canvas 3 **Orchestration** _Engineered_ _State and retries_ _Idempotency_ _Agent hand-offs_ _Long-running jobs_ 6. _Configured_ Upload documents 2 **Context & Data** _Engineered_ _Chunking_ _Embeddings_ _Hybrid retrieval_ _Retrieval evals_ 7. _Configured_ Select a model 1 **Models & Integrations** _Engineered_ _Model routing_ _Fallbacks_ _On-prem serving_ _Tool and API contracts_ **Configuring a layer gets a pilot running.** Engineering what sits underneath it is what gets AI into production. Builders, not advisors ### Engineered to product standards We build and run our own AI platform, so your solution is engineered, tested and versioned like a product, with documented architecture and maintainable code. Production, not pilots ### Built to pass security review We engineer the guardrails, evals, audit trails and cost controls that security, risk and finance teams ask for, so AI gets approved and into daily use instead of stalling as a pilot. Accelerated, not from scratch ### Speed and agility from Avintra Our own platform already does the heavy lifting, so we reach production in weeks, not quarters, and pivot a use case by recombining tested agents and connectors instead of rebuilding. **Technology-agnostic, always.** Avintra is our accelerator, not a requirement. We engineer on your stack. Proof points ## Measurable outcomes, _not pilots._ Live deployments across industries and business functions, from banking and finance to customer operations, legal and HR, each measured against a metric that matters to the business. Global Trade Finance Co. **$100M+** B2B loans managed ### Trade finance platform End-to-end supplier financing platform with AI invoice and bill-of-lading extraction, automated bank reconciliation and risk assessment. > “Technical excellence with deep business understanding.” Auto Components Manufacturer **60K+** Annual invoices automated ### Payables automation Line-level invoice extraction across 500+ vendor formats, duplicate-payment checks, 2/3-way match and human-in-the-loop exceptions. > “Improved efficiency, accuracy, and payables control.” $1.5B Oil & Gas Trading Co. **50%+** Productivity gain ### Bank reconciliations 16 bank accounts across 2 entities and 4 currencies, with one-to-many and many-to-many AI matching across 5 integrated systems. > “Drastically reduced manual effort and processing time.” [**ISO 27001** _certified_ **SOC 2** _certified_ **GDPR** _compliant_ **HIPAA** _compliant_ **CCPA** _compliant_ **DPDP** _compliant_](https://aventisia.com/resources/#trust) [All case studies](https://aventisia.com/resources/#case-studies) What our clients say ## Trusted by _enterprise teams._ Hear how leaders are deploying AI and automation at scale with Avintra and Aventisia. **85%** straight-through invoice processing > “Touchless invoice processing now runs at 85% straight-through, and we finally capture early-payment discounts with a fully auditable exception trail.” **Head of Accounts Payable** Global Manufacturing Group - **Head of Accounts Payable** Global Manufacturing Group 85% - **Controller, Finance Operations** Oil and Gas Trading Company 95% - **Head of Contact Center Quality** Leading eCommerce Company 100% - **Head of Customer Onboarding** Leading Life Insurance Company Minutes - **Head of Collections** Consumer Lending NBFC Higher - **Head of Shared Services** Leading Legal Services Firm < 1 min - **VP Customer Operations** Insurance Giant Faster - **Head of Wealth Management** Wealth Advisory Firm 3x - **Head of Compliance** Leading Life Insurance Company Shorter - **General Counsel** Leading Retailer Faster Where we work ## AI across every function, _in every form it takes._ A sample of the use cases we engineer across seven business functions, built as workflows, chat, voice, email, image and insights AI. Your first one starts from a proven pattern, not a blank page. Six kinds of AI [Workflows AI](https://aventisia.com/solutions/?type=workflow#library) [Chat AI](https://aventisia.com/solutions/?type=chat#library) [Voice AI](https://aventisia.com/solutions/?type=voice#library) [Email AI](https://aventisia.com/solutions/?type=email#library) [Image AI](https://aventisia.com/solutions/?type=image#library) [Insights AI](https://aventisia.com/solutions/?type=insights#library) [**Finance & Accounting** Example use cases - Invoice capture & three-way match - Bank reconciliation - Collections outreach](https://aventisia.com/solutions/?fn=finance#library) [**Customer Service** Example use cases - Email classification & routing - Call quality audit - Self-service chat agent](https://aventisia.com/solutions/?fn=service#library) [**Sales & Marketing** Example use cases - Lead enrichment & routing - Account research & outreach drafts - Website qualification chat](https://aventisia.com/solutions/?fn=sales#library) [**Human Resources** Example use cases - Resume screening & interview scheduling - Employee HR helpdesk - New-joiner document verification](https://aventisia.com/solutions/?fn=hr#library) [**Legal & Compliance** Example use cases - Contract review against playbooks - KYC document checks & screening - Policy & compliance assistant](https://aventisia.com/solutions/?fn=legal#library) [**Procurement & Supply Chain** Example use cases - Vendor proposal evaluation - Trade & shipping document checks - Shipment exception emails](https://aventisia.com/solutions/?fn=supply#library) [**IT & Operations** Example use cases - IT helpdesk assistant - Incident triage & routing - Shared IT mailbox triage](https://aventisia.com/solutions/?fn=it#library) **Industry solutions** Domain playbooks and compliance patterns [Banking](https://aventisia.com/solutions/banking/) [Insurance](https://aventisia.com/solutions/insurance/) [Healthcare](https://aventisia.com/solutions/healthcare/) [Retail & CPG](https://aventisia.com/solutions/retail/) [Supply Chain](https://aventisia.com/solutions/supply-chain/) [Explore the use case library](https://aventisia.com/solutions/) ![Kaushal Agarwal, Co-founder and CEO of Aventisia](https://aventisia.com/images/kaushal-ceo.png) A message from our CEO ## AI, _connected to what matters._ > “AI delivers value only when it is connected to the systems, data, processes, and people that drive an organization. That belief is at the heart of Aventisia. Our mission is simple - to help enterprises adopt AI with confidence.” **Kaushal Agarwal** Co-founder & CEO, Aventisia Let's build ## Tell us what you want AI to _do for your business._ Describe the process you want to change. We'll come back within one business day with a view on feasibility, approach and timeline. - 4 weeks average time to production - Built on Avintra or on the stack you already run - Deployed in our cloud, your private cloud or on-prem