Prime Point PartnersConsulting & Customer Operations
AI Solutions

AI that works alongside your team, not instead of it.

No AI yet, no budget for new tools, or AI that never delivered? We advise on the right tools, optimize the ones you already have, and help you get the full value from AI, with our people behind it.

Start where you are

Where is your operation with AI today?

We advise on the AI tools that suit your needs.

We look at your contact volume, your systems and your budget, then recommend the AI tools that fit your operation, not a one-size platform.

  1. 1Map where AI can safely take work off your team
  2. 2Shortlist and compare the tools that fit your stack
  3. 3Build the business case and the rollout plan
Why Prime Point

Vendors sell the AI. Outsourcers sell the seats. We own the outcome.

Sell the platform

AI software vendors

  • Licenses and features
  • Generic setup
  • You own the results

Sell the seats

Outsourcers

  • People on the existing process
  • Little appetite for automation
  • Billed by the hour

Owns the outcome

Prime Point Partners

  • AI built on your real knowledge
  • Our team handles what the AI hands over
  • Every conversation quality-checked
  • Measured on resolution, CSAT and cost
The AI Operations Suite

Six ways to put AI to work in your operation.

Start with one, or combine them. Every offer has a clear scope, timeline and the metrics we will be measured on.

Start here

AI Readiness Assessment

Find out what AI can safely take on before you buy or build anything.

  • Ticket and contact-reason analysis
  • Knowledge audit: gaps, conflicts and outdated answers
  • Automation map ranked by volume and risk
  • Business case and launch plan

Typically 2 weeks, fixed fee

AI Support Agent Launch

An AI agent that resolves routine chat and email, and hands everything else to a person with the details already collected.

  • Knowledge rebuilt from your SOPs, website and real resolved tickets
  • Guardrails: the AI informs and collects, it never refunds or cancels
  • Safe test conversations before any customer sees it
  • Launch-day monitoring and 30 days of tuning

Typically 4 to 6 weeks

AI QA Coach

Every conversation scored against your own QA scorecard, with coaching notes to the rep the next morning.

  • 100% of email and chat scored, not a 1% sample
  • One strength and one fix per ticket, linked to your SOP
  • Weekly team-lead reports and a leadership summary
  • Calibration with your QA team so the AI matches human judgment

Typically 3 weeks to launch, then monthly

Back-Office Automation

Remove the re-typing, chasing and copying that slow orders, invoices and handoffs.

  • Document capture (OCR) for orders and invoices
  • Workflow automation (RPA and Power Automate)
  • ERP and CRM handoffs with clear ownership
  • Exception queues people actually work

Scoped per process

Ops Intelligence

Dashboards and a weekly leadership report that turn service data into decisions.

  • KPI and SLA design
  • Live dashboards (Power BI or your tool)
  • Weekly leadership report with risks and actions
  • Review routines that keep the numbers moving

Typically 3 to 4 weeks

Our difference

AI + Managed Seats

AI handles the routine. Our managed team handles the rest, including nights and weekends.

  • AI first response on chat and email
  • Trained agents for escalations and complex cases
  • Overflow, after-hours, weekend, holiday and 24/7/365 options
  • One owner for resolution, CSAT and cost

Monthly, under agreed SLAs

How an AI launch works

Most AI projects fail on knowledge, not technology.

So we fix the knowledge first, test where no customer can see, and keep tuning after launch.

  1. 1

    Audit the knowledge

    Most AI failures are knowledge failures. We find the conflicting answers, outdated articles and promises the AI cannot keep.

  2. 2

    Build from real work

    We build the AI from what your best people actually do, using resolved tickets as well as the written SOP. Policy gaps go to you to decide.

  3. 3

    Test safely

    Test conversations run in a sandbox with order actions switched off, so no customer sees anything until it passes.

  4. 4

    Launch with guardrails

    Your leads review AI replies on day one, and each channel can be switched off with one toggle.

  5. 5

    Tune every week

    The QA Coach flags misses and knowledge gaps, so the AI answers better each week.

AI QA Coach

Most teams review 1% of conversations. The QA Coach reviews all of them.

It scores every human and AI conversation against your own scorecard, so coaching happens the next morning instead of weeks later, and problems surface before customers complain.

Representatives
A score, one strength and one fix on every ticket, the next morning.
Team leads
A weekly team report with failing tickets already queued for review.
Leadership
A one-page summary: quality, CSAT, risks and the SOP gaps behind them.

QA score · chat ticket

Pass
  • Knowledge & accuracy88% · weight 35%
  • Tone & empathy92% · weight 25%
  • Process & policy80% · weight 25%
  • Resolution84% · weight 15%

StrengthClear, warm opening and the order number confirmed before anything else.

One fixReturn window quoted from memory. Use the current returns macro.

Illustrative example. Criteria and weights follow your own QA scorecard.
Guardrails

Built so AI cannot make promises your team has to undo.

Never acts on orders

The AI informs and collects details. Refunds, cancellations and changes stay with people.

A person on request

Ask for a human, get a human. No loops.

Tested before launch

Every flow passes in a sandbox before a customer sees it.

One-toggle off switch

Any channel can go back to your team instantly.

Humans calibrate the AI

Team leads can override any QA score, and the AI is tuned to match.

Coaching first

QA scores coach for the first 30 days before they count toward performance.

We work inside the platforms you already use

  • Gorgias
  • Zendesk
  • Freshdesk
  • Intercom
  • Salesforce Service Cloud
  • HubSpot
  • Microsoft 365
  • Power Automate
  • Power BI
  • UiPath
  • Oracle ERP
How to start

Assess, launch, then run it together.

  1. 12 weeks

    Assess

    AI Readiness Assessment and business case.

  2. 24 to 6 weeks

    Launch

    AI Support Agent and QA Coach, live with guardrails.

  3. 3Monthly

    Run

    Tuning, QA, reporting and managed seats as needed.

Questions

What leaders ask before they start.

Will AI replace our team?

No. The goal is to take routine questions off your team so people spend their time on the cases that need judgment. The AI hands over anything it should not handle.

What if the AI says something wrong?

It is built only from approved knowledge, tested before launch, and barred from promising refunds, cancellations or changes. The QA Coach reviews every conversation and flags misses within a day.

Do we need to change our help desk?

Usually not. We work inside the platforms you already use wherever they support it, and tell you plainly when they do not.

How do you measure success?

Full AI resolution rate, CSAT, handover quality, rep QA scores and agent hours saved, agreed with you before launch.

Where should we start?

With the AI Readiness Assessment or a free Ops Health Check. Both tell you what AI can safely take on before you commit to a build.

Free, no obligation

Book a free 20-minute Ops Health Check.

Bring one problem: a backlog, slipping service levels, an AI project that stalled, or a role you cannot fill. You leave with a clear read on the root cause and the first three moves.

  • A short review of where the operation is losing time or revenue
  • Where AI and automation would help, and where they would not
  • A practical next step, whether or not we work together