30-day AI Opportunity Study for service operations teams

Find where skilled time is trapped.Decide what to change - with evidence.

In 30 days, Teho shows where skilled time and cost are going, which high-value work to grow, and which low-value patterns to reduce, automate or AI-assist.

We'll send the pack, then follow up if there is a fit.

Sample / Work Profile

CSM team / 12 people / Illustrative
JudgementExecutionCoordinationOverheadBurden
Customer work
20% / GBP 240k
Problem solving
17% / GBP 204k
Client selling
12% / GBP 144k
Decision support
11% / GBP 132k
Coordination
9% / GBP 108k
Pipeline reviews
7% / GBP 84k
Reporting
6% / GBP 72k
Inbox triage
5% / GBP 60k
Admin
5% / GBP 60k
Reconciling
4% / GBP 48k
Rework
2%
Approvals
2%
Emerging
Low-volume patterns under review
Private
Out of scope or below threshold
Annualised cost
GBP 1.24m
Recoverable capacity
18%
Priority value
GBP 286k
A team you would recognise

If any of these sound like your week, the study is for you.

Service operations teams hire skilled people to make decisions and serve customers. They keep getting pulled into coordination, admin, rework, and process overhead. AI tools alone do not fix that, but the right intervention on the right work can.

01

"It takes four senior people to push one renewal through. None of them know why."

Coordination load
02

"We added Copilot last quarter. Productivity did not move. We do not know whether to double down or pull back."

Process overhead
03

"My top performer spent half of yesterday cleaning a spreadsheet that has been broken for nine months."

Avoidable burden
How the study runs

30 days. One team. A clear evidence base.

Fixed scope and a fixed fee. The study starts with agreed teams and roles, captures only the signals needed to understand work patterns, then turns the evidence into a practical executive readout.

1Step 1

Scope

Agree the teams, roles, business question, minimal setup, and any optional privacy review before capture begins.

Deliverable / Scope brief
2Step 2

Capture

Map team work patterns while protecting individual privacy.

Deliverable / Signal baseline
3Step 3

Analyse

Classify time and cost by category, name friction hotspots, and size opportunities by impact and effort.

Deliverable / Opportunities
4Step 4

Read out

Turn the evidence into an executive readout, a prioritised change and automation roadmap, and the optional Pulse baseline.

Deliverable / Leadership readout
What you get back

The evidence to make practical decisions.

Where work goes. What it costs. What to change first.

DomainCustomer operations
GroupService recovery
ActivityRenewal support
TaskPrepare risk summary
Artefact 01

Work Taxonomy

The language of the work.

Complex review
Internal align
Rework
Onboarding
Handoffs
Manual setup
Decisions
Reporting
Data entry
Artefact 02

Work Profile

Where time and cost concentrate.

01Manual reportingHigh confidence
02Approval chasingHigh friction
03Inbox triageHigh repetition
Artefact 03

Hotspots

The frictions to investigate first.

#WorkGBP/YRRoute
01Automate reporting prepGBP 84kAutomate
02Simplify approvalsGBP 67kSimplify
03AI-assist clean-upGBP 58kAI-enabled
04Stop status meetingsGBP 41kStop
Artefact 04

Opportunities

What to change, ranked by value.

Coordination
24%
Overhead
17%
Burden
12%
Artefact 05

Pulse Baseline

The baseline to measure against.

Capacity opportunity
GBP 575k-815k

Work that can be grown, redesigned or released.

Low-value load
44%

Coordination, overhead, and avoidable burden.

Priority hotspots
3

Places to act first.

06 · Decision routes

Every opportunity gets one of five routes.

Most workflows do not need AI. Some should not be done at all. Teho stays honest about which is which.

ROUTE / 01

Stop

Work that no longer earns its place.

EG / Review nobody acts on.
ROUTE / 02

Simplify

Work that matters, but has become too heavy.

EG / Meeting becomes update.
ROUTE / 03

Automate

Rules-based work that moves between systems.

EG / Recurring reconciliation.
ROUTE / 04

AI-enabled

Work where AI can do useful lifting.

EG / Drafted summary.
ROUTE / 05

Keep human-led

Work where human judgement is the value.

EG / At-risk account call.

Every Study readout names the route per opportunity, with the reasoning behind it. Most candidates do not end up on the AI-enabled route and the ones that do are sized against realistic productivity gains, not vendor claims.

Trust posture

Privacy-first by design. Team-level analysis only.

Team-level onlyReports use team-level evidence and minimum cohort sizes.
No message-body captureNo keystrokes, credentials, audio, or video. Richer evidence only by explicit agreement.
Screenshots off by defaultIf enabled, settings and retention are agreed before rollout.
Device-side redactionRedaction is available before data leaves the device where needed.
Study pack / first-customer terms

Want the detail before you talk to us?

Request the Study pack and we will send the practical version: how the study works, what it produces, and how first-customer fixed-fee places are handled. We'll then follow up if there is a fit.

Is this employee monitoring?

No. The study looks at team-level work patterns. We do not produce individual rankings or activity feeds.

Do we need system integrations?

No. Teho works across the tools your team already uses, without connecting every system.

Will every recommendation be AI?

No. Most will not. Some work should be stopped, simplified, automated, or kept human-led.

We'll send the pack, then follow up if there is a fit.

We use your email to send the Study pack and follow up about fit. No newsletter. No spam.