Selected Projects

Work that eliminates the manual layer

A selection of AI automation builds — from compliance tracking tools to operational intelligence platforms. Each one started with a real process problem, not a technology brief.

Completed 01 / 04

Wildlife AI Platform

Conservation & Environmental Monitoring

The Problem
A conservation organisation was manually reviewing thousands of camera trap images per season to identify and log species. The process was slow, inconsistent, and required specialist time that wasn't available at scale.
What Was Built
An automated image classification and reporting pipeline. Images are ingested, species identified, confidence-scored, and filed into structured reports — with low-confidence captures flagged for human review rather than discarded.
Outcome
90%+ reduction in manual image review time. Equivalent to 1,200+ specialist hours recovered annually — redirected to fieldwork and analysis.

Approach

Built a multi-stage pipeline: image ingestion → AI classification → confidence filtering → structured output generation. Human review was preserved for low-confidence results, keeping accuracy high without removing oversight entirely.

Key Components

  • Automated image ingestion and pre-processing
  • AI-powered species classification
  • Confidence scoring with human escalation for edge cases
  • Structured report generation for field teams
Live — Internal 02 / 04

AI Business Development Pipeline

Sales Automation & Outreach Intelligence

The Problem
Finding, researching, and writing personalised outreach to hundreds of prospects across multiple industries — without a sales team. Manual research per firm took 20–30 minutes. At scale, that's weeks of work.
What Was Built
A seven-stage pipeline: niche research → prospect identification → ICP scoring → AI-personalised email generation → Gmail draft creation → sequenced follow-up → reply tracking. Entirely automated after initial setup.
Outcome
140+ personalised outreach emails across two niches in under two weeks. Research that would have taken 3+ weeks of full-time work compressed to 10 days — at zero marginal cost per firm.

Approach

Built as a modular pipeline where each stage hands off to the next. AI handles prospect research, company context extraction, and email personalisation. Gmail's API creates drafts in bulk for human review before sending — keeping a human in the loop on the final action.

Key Components

  • Automated niche and prospect research
  • ICP scoring against fit criteria
  • GPT-powered email personalisation per firm
  • Gmail API bulk draft creation
  • Sequenced follow-up with reply detection
  • Bounce and deliverability monitoring
In Development 03 / 04

Cybersecurity Intelligence Platform

Security Operations & Threat Monitoring

The Problem
Security teams need to monitor, correlate, and act on threat intelligence from multiple sources simultaneously. Manual triage is slow and inconsistent — threats get missed, and the volume of noise makes prioritisation difficult.
What Is Being Built
A real-time intelligence platform that aggregates threat feeds, correlates signals across sources, surfaces prioritised alerts, and generates structured incident reports — reducing analyst time spent on triage and repetitive documentation.
Target Outcome
∞→1 Multiple fragmented threat feeds unified into a single prioritised intelligence view. Analyst attention directed to decisions, not data aggregation.

Approach

Built on a modern full-stack foundation (Next.js, Supabase, Clerk) with real-time data ingestion, automated correlation logic, and structured alert generation. Designed for extensibility — new threat sources can be added without rebuilding the core.

Key Components

  • Multi-source threat feed aggregation
  • Automated signal correlation and deduplication
  • Prioritised alert surfacing
  • Structured incident report generation
  • Role-based access and audit trail
Ongoing 04 / 04

Business Workflow Automation

Operations & Process Automation — SMEs

The Problem
UK SMEs losing hours each week to repetitive manual tasks: copying data between systems, chasing leads that go cold, generating reports by hand, and managing compliance paperwork that doesn't change — only the dates do.
What Gets Built
Custom automation workflows designed around each business's existing tools. Lead routing, CRM updates, document generation, scheduled reporting, email follow-up sequences — built to run without anyone watching them.
Typical Outcome
8–20 hrs of manual admin eliminated per week — equivalent to £20,000–£57,000 in annual staff cost recovered per business. Processes that required daily attention now run end-to-end without intervention.

Common Workflows Built

  • Lead qualification and CRM routing from web forms
  • Automated follow-up email sequences with reply detection
  • Document and report generation from structured data
  • Compliance checklist tracking and evidence collection
  • Invoice and onboarding document automation
  • Cross-system data sync (removing copy-paste work)

How It Works

Each engagement starts with a 45-minute discovery call to understand where time is being lost. Automation is then scoped to the highest-value process first — delivering a measurable result before expanding to other workflows. No large upfront commitment required.

Have a process worth automating?

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Sarat Sarvepalli, founder EnablSoft Technologies

Sarat Sarvepalli

Founder, EnablSoft Technologies

13 years building production software across healthcare, government, and enterprise — now applied to AI automation and workflow systems for UK businesses.

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