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Services / 05 // Intelligent Systems / RAG Pipelines

AI Automation & Auditing

Custom autonomous AI agents, enterprise LLM fine-tuning, deterministic document parsing workflows, and compliance bots eliminating operational friction and expensive manual audits.

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Vector Match Accuracy98.4%
Human Audit Intervention Needed
0%
05 // INTELLIGENT SYSTEMSRAG PIPELINES

AI Automation & Auditing

Custom autonomous AI agents, enterprise LLM fine-tuning, deterministic document parsing workflows, and compliance bots eliminating operational friction and expensive manual audits.

Architecture Specs

Hybrid retrieval-augmented generation (RAG), vector similarity search, structured JSON output validation guards.

Primary Tech Stack

Python · LangChain · LlamaIndex · OpenAI / Anthropic APIs · pgvector · Pinecone · Celery Workers

psychology Bespoke Autonomous Workflow Agents description High-Accuracy OCR & Doc Extraction shield Enterprise Guardrails & Hallucination Checks
timelapseTypical Velocity: 4-8 Weeks
AGENT DECISION TRACEVECTOR MATCH: 98.4%
> Ingesting invoice PDF batch (48 files)...
> Optical structure mapped. Deterministic regex OK.
> Extracting line items to ERP JSON format...
> Audit complete. Human intervention needed: 0%
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Autonomous AI Agents

Multi-step workflow agents that ingest data, make decisions, call external APIs, and produce structured outputs without human intervention. Built with LangChain and LlamaIndex.

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Document Intelligence & OCR

High-accuracy extraction from PDFs, invoices, contracts, and forms. Deterministic parsing pipelines that output structured JSON ready for ERP or database ingestion.

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RAG Knowledge Systems

Retrieval-augmented generation over your private knowledge base. Vector embeddings with pgvector or Pinecone, hallucination guardrails, and source citation for every response.

verified_userZero Vendor Dependency Guaranteed

You own everything: full IP, repositories, secrets, and cloud configurations.

Unlike agencies that maintain proprietary lock-in, every single line of code, staging environment, database seed, and secret key belongs strictly to your legal entity from day one.

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01 / Source Code

GitHub / GitLab Org Owner

Direct transfer of repo ownership with clean commit histories.
02 / Infrastructure

Native Cloud Accounts

All AWS, GCP, Vercel & Cloudflare resources run in your domain.
03 / Secrets & Keys

Zero Studio Custody

Encrypted handover of API keys, DB credentials, and SSL certs.
04 / Legal Protection

Mutual NDA & IP Assignment

Enforceable commercial IP assignment agreements in UK & Nigeria.
Delivery Methodology

Four steps from call to launch.

Every step has a concrete deliverable and a clear decision point.

01

Discovery

Free 30-min call. We scope the project honestly. No commitment required.

Day 1
02

Scope & Proposal

Fixed spec and price agreed in writing before we write a single line of code.

Days 2-5
03

Build Sprints

Weekly updates and a live staging environment. Production-grade code, every sprint.

Weeks 2-8
04

Launch & Support

Full deployment and handover of all code, repositories and credentials. We stay available after launch.

Week 4 onwards
Start A Project

Ready to eliminate manual work with AI?

Tell us what you are building. We will tell you honestly if we can help, how long it will take, and what it will cost. No pressure.

WhatsApp Us Directly

contact@alphastrive.co.uk · Responds within 24 hours

Common Questions

AI Automation FAQs.

Straight answers on agents, accuracy, and ownership.

How accurate are your AI document extraction pipelines?+
Our deterministic OCR and extraction pipelines achieve 98.4% vector match accuracy on structured documents. We combine optical character recognition with regex validation and structured output guards to catch and flag edge cases rather than silently producing wrong results.
Which AI providers and models do you work with?+
We work with OpenAI (GPT-4o, o3), Anthropic (Claude Sonnet/Opus), and open-source models (Mistral, Llama). The right model depends on your latency, cost, and compliance requirements. We can also build model-agnostic abstractions so you are not locked into one provider.
How do you prevent hallucinations in production AI systems?+
We implement enterprise guardrails including structured JSON output schemas, retrieval-augmented generation with source citations, confidence scoring thresholds, and automated human escalation triggers for low-confidence outputs. Every production AI system we ship has a documented fallback policy.
Do we retain complete legal ownership of the code?+
Yes, completely. From Day 1, all repositories are hosted either in your company organization or transferred with full administrative control upon completion. We do not retain proprietary code locks, obfuscated binaries, or recurring studio licensing fees.