AI Automation

Custom AI Solutions

AI products built for your problem, not a template.

Overview

What this service covers

When off-the-shelf tools cannot express your domain, we engineer custom AI applications — document intelligence, recommendation systems, autonomous agents and copilots embedded directly in your products.

Business challenges we solve

  • Requirements no SaaS product covers
  • Sensitive data that cannot leave your environment
  • Prototypes that fail under real production load

Our solution

Full-cycle AI engineering: evaluation-driven model selection, retrieval architecture, tool-using agents, and hardened deployment with monitoring and cost control.

Technology used

  • OpenAI
  • Claude
  • Gemini
  • LangGraph
  • pgvector
  • Cloudflare Workers

Capabilities

Key features

RAG pipelines

Chunking, embedding and retrieval tuned to your content.

Agentic workflows

Tool-using agents that complete multi-step tasks reliably.

Model evaluation

Benchmark accuracy, latency and cost before committing.

Private deployment

Run inside your cloud or VPC where compliance requires it.

Product integration

Ship AI features inside your existing application.

Cost governance

Caching, routing and quotas to keep inference spend predictable.

Benefits

What you get

  • Capability your competitors cannot buy off the shelf
  • Full control over data residency and security
  • Production reliability, not demo quality
  • Predictable running costs at scale

Our process

How the engagement runs

  1. 01

    Discover

    We audit your systems, funnels and operating metrics to establish a factual baseline and a shared definition of success.

  2. 02

    Design

    Solution architecture, measurement plan and a phased roadmap with costs, owners and expected return per phase.

  3. 03

    Build

    Delivery in two-week increments with working software or live campaigns reviewed at the end of every sprint.

  4. 04

    Deploy

    Controlled rollout with monitoring, documentation and team enablement so adoption sticks after go-live.

  5. 05

    Optimise

    Continuous experimentation and reporting against the metrics agreed at discovery, quarter after quarter.

Case studies

Related results

Healthcare

AI voice agents recovering 31% of missed patient calls

Twelve diagnostic centres were losing bookings to unanswered calls at peak hours. AI voice agents now handle overflow, booking and report queries.

Read case study
Manufacturing

Procurement cycle time reduced from 9 days to 2

Document intelligence and approval automation removed the paper trail from a 40-step procurement process.

Read case study

FAQ

Questions clients ask

Testimonials

From clients we work with

"Acovia rebuilt our measurement before touching a single campaign. Six months later we are spending three times as much and our margin is better than when we started."
Rhea MalhotraHead of Growth, national D2C brand
"The voice agents handle the calls our team never could. What impressed me was the operational rigour — escalation rules, transcripts, quality reporting, all of it."
Dr. Arvind NairDirector, multi-city diagnostics chain

Ready to start with Custom AI Solutions?

Book a 30-minute consultation. We will review your current systems and funnels and tell you honestly where the fastest return sits.