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Technology

AI that does real work, not demos

Custom agents, document intelligence and predictive models trained on your data, wired into the systems your team already uses every day.

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70%

Manual Work Removed

24/7

Autonomous Coverage

8

Weeks To Production

At a glance
  • AI opportunity assessment with ROI model
  • Data pipeline and knowledge base preparation
  • Production AI application or agent
  • Evaluation suite with accuracy benchmarks
  • Guardrails, logging and human review workflow
  • Integration with your CRM, helpdesk or ERP
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Overview

Why this matters

The gap between an impressive AI demo and something a business can actually depend on is enormous. Production AI needs grounded data, guardrails, evaluation, human review paths and a clear answer to what happens when the model is wrong. Most pilots die on exactly those questions.

SWYFT DESK builds AI systems that survive contact with real operations. We start with a use case that has a measurable dollar value, ground the model in your own documents and records, evaluate it against a labelled test set, and ship it inside the tools your team already opens every morning.

The difference

What you actually get

Four things that separate this from the version you have tried before.

Your Data Stays Yours

Private deployments, no training on your data, and clear retention rules you control.

Evaluated, Not Assumed

Every model ships with a labelled test set and accuracy thresholds it has to clear.

Human In The Loop

Confidence scoring and review queues so people approve anything the model is unsure about.

Tied To A Number

Every build starts from a use case with a measurable cost or revenue impact attached.

Scope of work

Everything included in Artificial Intelligence Solutions

The full scope we can take off your plate — engaged together or piece by piece.

Custom AI Agents & Assistants

Task-completing agents that read, decide and act across your systems — with full audit logging.

Chatbots & Support Automation

Support and sales assistants grounded in your knowledge base, with clean human handoff.

Document Intelligence

Extract and validate data from invoices, contracts, claims and PDFs at production volume.

Forecasting & Predictive Models

Demand, churn, lead scoring and revenue forecasting trained on your historical data.

RAG & Knowledge Systems

Retrieval-augmented search over internal documents so answers cite a real source every time.

LLM Integration & Ops

Model selection, prompt engineering, cost controls, caching, evaluation and monitoring.

How we work

A clear path from first call to results

No mystery phases, no invisible months — you know what happens and when.

01

Use-Case Selection

We size the opportunity in dollars and hours, and say plainly if AI is the wrong tool for it.

02

Data & Guardrails

Data pipelines, access rules, evaluation sets and the boundaries the system must never cross.

03

Build & Evaluate

Iterative development measured against accuracy targets, not against how good the demo feels.

04

Deploy & Monitor

Production rollout with cost tracking, drift monitoring and a scheduled improvement loop.

Deliverables

What lands in your hands

Concrete outputs you own — not a monthly status call and a slide deck.

  • AI opportunity assessment with ROI model
  • Data pipeline and knowledge base preparation
  • Production AI application or agent
  • Evaluation suite with accuracy benchmarks
  • Guardrails, logging and human review workflow
  • Integration with your CRM, helpdesk or ERP
  • Cost monitoring and usage dashboard
  • Team training and prompt playbook
Tools & platforms

We work in the systems you already run

No proprietary platform to get locked into. Every account, licence and integration stays in your name.

  • Claude
  • OpenAI
  • LangChain
  • Vector Databases
  • Python
  • Laravel
  • AWS Bedrock
  • n8n
FAQ

Questions we get asked

Straight answers, including the ones other agencies avoid.

No. We deploy through enterprise API tiers that contractually exclude training on your data, and for sensitive workloads we can run models inside your own cloud account. Data handling is documented before we build anything.
We assume it sometimes will, and design for that. Answers are grounded in your source documents with citations, confidence thresholds route uncertain cases to a human queue, and every interaction is logged so you can audit exactly what happened.
Usually far less than clients expect — most production workloads land between $50 and $500 per month in model costs. We build caching and model-routing in from the start and give you a live cost dashboard, so there are no surprise bills.
Pilots usually fail for one of three reasons: the use case had no measurable value, the model was not grounded in real company data, or nobody built the workflow around it. We address all three before writing code, and we will decline a project where AI genuinely is not the answer.
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Pairs well with

Most clients combine two or three of these into a single engagement.

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Ready to talk about artificial intelligence solutions?

Book a free 30-minute consultation. We will tell you honestly what you need, what you do not, and what it costs.

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