AI integration agency · Free consultation

MindSpring: practical AI integration that saves hours and cuts costs

Prepared for
Date
Presented by

Agenda

What we'll cover today

  1. 1

    Your context

    Your team, goals and where time goes.

  2. 2

    Where AI could pay off

    Practical starting points for your teams.

  3. 3

    How we work

    From first conversation to ongoing integration.

  4. 4

    Next step

    What happens after this call.

Your context

What we've learned so far

From our research

  • [Research note 1]
  • [Research note 2]
  • [Research note 3]

To complete together

Industry
[Industry]
Team size
[Team size]
Goals
[Goals]
Pain points
[Pain points]

Why now

Why this is worth looking at now

01

Repetitive work drains capacity

Support queues, reporting, lead follow-up and handoffs eat hours every week.

02

Tools without ownership fail

Buying another SaaS seat is easy. Embedding AI into real workflows, with owners and outcomes, is harder.

03

The gap compounds

Teams that systematically deploy AI agents compound speed and cost advantages.

Where AI could pay off

Three places to win

01

Custom in-house tools

Your own software instead of expensive SaaS.

02

A shared company brain

An agent connected to your tools and documents that everyone can ask. It answers with sources and respects permissions.

03

Slow manual processes, done autonomously

Agents handle the copying, checking, chasing and compiling, and escalate to a person when judgement is needed.

Examples for your teams

Illustrative examples, not client case studies

What this could look like, team by team

Support

  • Agent drafts replies
  • Routes complex cases
  • Summarises threads

Sales

  • Enrich leads
  • Prep call briefs
  • Nudge stalled opportunities

Operations

  • Collect status from tools
  • Flag exceptions
  • Keep SOPs current

Finance

  • Categorise expenses
  • Chase missing docs
  • Draft variance notes

HR

  • Answer common HR questions
  • Schedule onboarding steps
  • Manager checklists

Marketing

  • Research topics, outline campaigns
  • Adapt messaging
  • Humans approve

Results from real projects

Anonymised · figures as reported by clients

What has worked elsewhere

Oil & gas

Hundreds of timeslower cost

Own software instead of a niche tool costing ~$100k per user.

Tender processing

70 → 25,000tenders processed

From 70 tenders a week to 25,000 processed with an AI agent.

Beauty salon

0–2 minaverage chat response, 24/7

AI receptionist. Down from 10–60 minutes.

How we work

How it works

01

Free consultation

This call.

02

Personalised pricing

A short company brief, a monthly subscription estimate and an assigned specialist.

03

Deep discovery

Your specialist learns the company and teams and finds where AI is most effective first.

04

Continuous integration

Step by step, from a first agent to a custom multi-agent system, on existing tools and custom stacks.

The first month

Week 1Align & audit
Week 2Design the first agent
Week 3Deploy & train
Week 4Measure & plan next

Exact pacing depends on readiness and access.

Security, data, ownership

Your data, your outcomes

Your data stays yours

Least-privilege access. Data and artefacts remain your property.

Practical security posture

Access controls, audit-friendly workflows, clear boundaries between experimental and production.

You own the outcomes

Documented setups, transferable configurations, no black-box lock-in.

Human oversight

Critical actions stay behind human approval until you decide otherwise.

Pricing and next step

A personalised monthly subscription

From$3,000 / month

With a dedicated AI integration specialist:

  • Discovery
  • Agent design, deployment and iteration
  • Existing tools and/or custom stacks
  • Clear ownership of priorities and outcomes

Next step

A short company brief, then your personalised monthly quote.

← → / Space to navigate · N notes · F fullscreen · Ctrl/Cmd+P to print