End-to-end AI integration
inside your systems

We embed AI end-to-end inside your CRM, ERP, and helpdesk reading live data, taking action, keeping a human in the loop not bolted on beside them.

Trusted by Fortune-500 brands and ambitious startups across 36 countries
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What changes for you

AI inside your
systems, not beside

AI reads live data and takes action inside your CRM and ERP no copy-paste, no separate tool.

  • Read layer · live data

    Connectors that read live data from your CRM, ERP, helpdesk, document storage and communication tools. Authenticated, rate-limited, error-handled. Not a one-time export - a live, maintained connection.

  • AI + human-in-loop

    LLM decision nodes operating on real data from the read layer. Confidence thresholds route low-confidence decisions to a human review queue. Approval gates for high-stakes writes. The AI handles the 90%; your team handles the 10% that requires genuine judgement.

  • Write layer + audit

    Structured outputs written back to your systems - CRM updated, ticket created, ERP posted, document generated. Idempotent writes with retry logic. Every read, every decision, every write - logged with timestamp, model version, confidence score, user action.

Where most integrations break

Why bolt-on AI never sticks

AI parked beside your systems gets ignored; embedded AI gets used daily.

Who we work with

Built for the systems integration owner

Whoever owns the systems: we wire AI into your existing workflows.

COO · VP Operations

We have 11 systems that don't talk to each other. My ops team is the integration layer.

We map the integrations, pick the three workflows that save the most, and build them - with AI where judgement is needed and automation where rules suffice.
  • Integration map · connector spec · legacy RPA plan
  • AI decision nodes where rules aren't sufficient
  • Audit trail on every automated decision
CTO · VP Engineering

We need AI that can read AND write to Salesforce, NetSuite and our custom OMS.

We have pre-built connectors for all three. We wire them together with a routing layer, confidence thresholds and an audit log before the first production call.
  • Pre-built connectors for 30+ enterprise systems
  • Routing layer · confidence thresholds · audit log
  • Idempotent writes with retry logic and alerting
CFO · Finance Director

We're paying for six systems that don't share data. Manual reconciliation takes 3 days.

One integration layer that reads from all six and writes to all six. Manual reconciliation becomes an exception queue.
  • One source of truth across all six systems
  • Manual reconciliation → exception queue
  • ↓ 4d → 4h on your specific reconciliation workflow
CIO · IT Director

We have legacy systems that vendors say we have to replace to integrate with AI.

We wrap legacy systems with RPA connectors exposing a modern API surface without replacement. Your 15-year-old ERP participates in a modern AI workflow.
  • RPA connectors for legacy with no API
  • No replacement project required
  • Modern API surface over any legacy system
Head of Compliance

We need a complete audit trail of every AI decision and what data informed it.

Every action in our integration architecture is logged: which system was read, what data was retrieved, what the AI decided, confidence score, what was written back, who approved.
  • Complete audit trail per automated decision
  • Model version log · confidence score · approval record
  • SIEM integration · queryable audit records
VP Sales · RevOps

Our CRM data is always stale. Sales reps don't trust it so they don't use it.

AI-powered CRM hygiene agent: deduplication, enrichment, LLM summarisation, activity tagging. Sales data stays current automatically.
  • Deduplication · enrichment · LLM summarisation
  • Activity tagging · stale record detection
  • ↑ 28pt forecast accuracy in our client data
Production workflows we've shipped

AI integrations in daily use

Invoice-to-pay, lead-to-meeting, and ticket-to-resolution flows running live.

Ecommerce
Finance

Invoice-to-pay

Email → OCR → NetSuite → Approval · Extract → match PO → 3-way check → route → post

↓ 4d → 4h · 99% accuracy
B2B SaaS
Sales

Lead-to-meeting

HubSpot → enrichment API → Salesforce → calendar · Qualify → enrich → score → book → sync

↑ 3.1× SDR throughput
Healthcare
CX

Ticket-to-resolution

Zendesk → OMS → KB → Zendesk · Read ticket → check order → retrieve policy → draft reply → post

↓ 4h → 11s first response
Finance
Claims

Claim-to-payment

Email → claims system → payer API → ERP · Extract → validate → file → reconcile

↓ 14min → 4min per claim
Legal
Procurement

Vendor-to-live

Email → KYC API → DocuSign → ERP → IT · Collect docs → score → contract → setup

↓ 3wk → 4d
Logistics
HR

Hire-to-productive

ATS → BGV → IT → MS365 → HRIS · Trigger → laptop → SSO → training → day-one ready

↓ 2wk → 2d
services
Logistics

Order-to-delivered

OMS → carrier API → customer comms → CRM · Track → alert → reroute → notify → log

↓ 58% manual touches
Education
Legal

Contract-to-signed

Email → NDA review → redlines → DocuSign → CRM · Extract → flag → draft → route → store

↓ 6h → 45min per contract
Cross
Internal

Request-to-resolved

Slack → ITSM → KB → resolution · Classify → retrieve → resolve or escalate → log

↓ 2.1 hrs/wk per employee
The delivery sprint

System mapping to live integration

We map every system and data flow, then ship AI embedded into them.

Week 1-2 · Integration mapping

Map every system and data flow

Map every system, every API, every data flow, every human touchpoint. Baseline the manual cost. Identify integration gaps - including legacy without APIs. Fixed-price plan.

DeliverableIntegration map · connector spec · legacy RPA plan · fixed-price SOW
Week 3-5 · Connector build & AI layer

Connectors + AI + audit

Connectors to all required systems, intelligent AI decision nodes, and human-in-loop queues. Write-back with idempotency, retry handling, and audit logging for reliable workflow execution.

DeliverableIntegration live for 1 workflow · audit log active · dashboard tracking baseline metric
Week 6-7 · Hardening

Exception handling + monitoring

Exception handling, alerting, fallback paths, permission checks, and rate limiting. Production connectors aren't the ones that worked on Tuesday - they're the ones that handle systems being down at 2am.

DeliverableProduction-hardened integration · monitoring · exception alerts
Week 7-8 · Hand-off

Runbooks + connector maintenance docs

Detailed runbooks, connector maintenance documentation, and structured on-call procedures for reliable operations. Optional 3-month SLA with monitoring, issue resolution support, and ongoing maintenance coverage.

DeliverableFull ownership transfer · ROI report · integration #2 roadmap
STACK-SPECIALIZED

The stack behind end-to-end AI

The integration, model, and connector stack that fits your existing systems.

AI & Frontend
Deep integrations.
Maximum performance.
React / Next.js
Angular / Vue.js
HTML5 / CSS3
JavaScript
React Native
Swift / Kotlin
Intelligent interfaces built for modern user interactions.
Backend & AI Systems
Scalable. Secure.
Production-ready.
Node.js / Laravel
Python / FastAPI
Azure DevOps
Docker / Jenkins
AWS / Google Cloud
Microsoft Azure
Secure, scalable architectures powering intelligent systems.
Data & Enterprise Systems
One codebase.
Many platforms.
MongoDB / MySQL
SQLite / SQL Server
WordPress / Magento
Shopify
Vector Databases
AI Retrieval Systems
Reliable data foundations for automation and intelligence.
No vendor lock-in Pause, pivot or stop anytime.
Tailored to your goals Tech that fits your roadmap.
Built for speed & scale Deliver value, faster.
Secure by default Best practices, every time.
AI PRODUCTS, IN PRODUCTION

AI integrations working inside systems

Live AI handling triage, routing, and reconciliation inside your stack.

Industry expertise

We've shipped here. Many times over

Deep teams with industry context not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.

Word of mouth

What clients tell their peers.

Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.

trieval

"They feel like our team — not a vendor."

RH
Ismail Abualsmah
CEO, Trieval
01:18
Repeat client
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Fast turnaround
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.

News & insights

Check Out the Latest Trends and Tech Discussions

We constantly come up with top-tier resources and breathtaking ideas that would help you stay informed about
the latest happenings in the tech world.

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Frequently Asked Questions

The questions every founder asks us.

  1. It means connecting AI capabilities seamlessly across all systems and workflows to create a unified, intelligent operational ecosystem.

  2. We build custom connectors and use API orchestration to ensure smooth, reliable communication between modern AI and older enterprise systems.

  3. By synthesizing data from multiple sources, AI generates comprehensive insights and predictive analytics that enable faster, informed choices.

  4. Yes, our architectures use scalable technologies like asynchronous processing and fault-tolerant design to handle increasing load without downtime.

  5. Retail, healthcare, manufacturing, finance, and logistics benefit from automating complex workflows and gaining real-time operational intelligence.

  6. Through fault-tolerant design patterns and continuous system monitoring to prevent failures and maintain high availability.

  7. It’s the process of unifying data from diverse systems into a single, real-time view that AI can analyze for better business insights.

  8. AI evaluates incoming requests for urgency and intent, enriching contextually and directing them promptly to the right teams or systems.

  9. It enables proactive responses by identifying potential issues or opportunities before they happen, triggering automated workflows to act.

  10. Yes, we design solutions that work across cloud providers and on-premises infrastructure, ensuring flexibility and control.

Pick your starting line

Three ways to get AI embedded across your systems.

AI tool that sits beside your systems but nobody uses or an enterprise that needs AI wired into the CRM, ERP, and helpdesk it already runs on we have a low-risk first step for both.