Career evidence and application-material organisation
Organise each client's truthful career history and target-role materials.
CLIENT ENGAGEMENT / TARGET ROLE / AGREED ACTION
AI agent for career coaching practices
Your AI agent keeps client materials, agreed applications and interview preparation moving around your coaching practice.
A specialised AI agent you can ask for more. Chat here on the site.
$99.00/month, including $40.00 in monthly credits. Monthly subscription. Before tax.
One place for career evidence and application-material organisation, application milestones and client follow-through, interview preparation and progress reviews.
MADE FOR YOUR WORKDAYStart with work already on your desk
Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.
Get my AI agent →“Run the next fortnight for my 15 career clients: organise their target-role materials, follow agreed application actions and prepare interview packs for confirmed interviews.”
A useful first result
Career evidence and application-material organisation, with the client engagement, target role and agreed action linked to source evidence and the next delivery actions.
Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.
A conversation at your desk
This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.
Illustrative project · configured agent at work
A configured agent with your client engagement, target role and agreed action records, current commitments and the connected accounts used for application milestones and client follow-through.
A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.
Run the next fortnight for my 15 career clients: organise their target-role materials, follow agreed application actions and prepare interview packs for confirmed interviews.
Three CVs use outdated role descriptions and two interviews need company-specific preparation. I am reconciling the career evidence while following the overdue client actions.
Work in progressKeep each client's target-role criteria and authentic experience. Use my coaching framework for the preparation packs.
Current application materials and interview packs are delivered. Progress reviews distinguish applications, interviews and offers, with unanswered client actions still visible. Your working files and dashboard reflect the recorded outcomes.
Later · delivery and saved resultsThe details your specialist follows
Follow each client engagement through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.
Keep an eye on: outdated career evidence, unanswered application actions and upcoming interviews lacking preparation.
Illustrative working document · your records start empty
| Client engagement | Dependency to follow | Evidence of completion |
|---|---|---|
| 27-104 | Career evidence and application-material organisation | Career-record gaps resolved |
| 27-118 | Application milestones and client follow-through | Agreed client actions completed |
| 27-126 | Interview preparation and progress reviews | Coaching action dates met |
Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.
CLIENT ENGAGEMENT / TARGET ROLE / AGREED ACTION
Retain client-provided career history, target roles, application versions and agreed coaching actions. Prepare truthful role-specific material, coordinate reviews and interview preparation, and follow client-reported application outcomes.
Your AI agentPrepared for career coaching practices
An example record for client engagement, target role, agreed action, client preparation packs delivered.
The useful next step
Organise each client's truthful career history and target-role materials.
Built around the details that matter
Paid candidate coaching rather than filling employer vacancies
Organise each client's truthful career history and target-role materials.
Follow agreed applications and prepare for confirmed interviews.
Review actual outcomes without counting submissions as interviews or offers.
A small tool for a real job
Follow outdated career evidence, unanswered application actions and upcoming interviews lacking preparation before they turn into another missed commitment.
Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.
Try your own numbers
Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.
From enquiry to a useful next step
Add a job reference and the details you already know.
Client engagement and target role, ready to check.
Give your specialist the outcome and let it carry the work forward.
Keep working records in Files and Tasks.
Keep the job and its next steps together.
Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.
Prepared for your business
Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.
Recorded cases · outcomes
Count one verified client target-role preparation pack outcome, identified by its stable business-record ID and completion event. Link the source evidence and retain the original completion timestamp. Duplicate updates, revisions, illustrative examples and pending or merely promised outcomes do not count. A corrected outcome replaces its prior event rather than creating another completed item.
Recorded cases · outcomes
Count one verified career evidence gap outcome, identified by its stable business-record ID and completion event. Link the source evidence and retain the original completion timestamp. Duplicate updates, revisions, illustrative examples and pending or merely promised outcomes do not count. A corrected outcome replaces its prior event rather than creating another completed item.
Recorded cases · outcomes
Count one verified client agreed action outcome, identified by its stable business-record ID and completion event. Link the source evidence and retain the original completion timestamp. Duplicate updates, revisions, illustrative examples and pending or merely promised outcomes do not count. A corrected outcome replaces its prior event rather than creating another completed item.
Average · hours
Elapsed hours from complete role brief to preparation pack delivery. Use the actual start and end timestamps for the same business record, store the calculated duration once with source references and exclude pending cases, missing timestamps, reversed intervals and illustrative examples. Do not infer elapsed time from a current status or sum repeated snapshots.
Observed rate · %
Population: completed coaching actions, each with a stable record ID and an actual completed assessment. Numerator: on_time; denominator: on_time plus late from the same assessed population. Classify each outcome once; exclude pending or unknown cases, unassessed records and illustrative examples. Compare actual completion with the original agreed deadline; retain its timezone and do not move the deadline to improve the result. Corrections replace the original event instead of counting twice.
Observed rate · %
Population: assessed application claims, each with a stable record ID and an actual completed assessment. Numerator: met; denominator: met plus not_met from the same assessed population. Classify each outcome once; exclude pending or unknown cases, unassessed records and illustrative examples. Apply the recorded requirement checklist or acceptance criteria; preserve failures as well as passes and link the supporting evidence. Corrections replace the original event instead of counting twice.
Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.
Keep the tools that already work
Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.
The starting instructions, intake questions and working rules already match career coaching practices. Add your service list and one example of your tone when you are ready.
Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.
Ask your career coaching client support to investigate recurring exceptions, compare suppliers, improve customer communications or take on another business assignment in the same workspace. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.
Recommended starting plan
Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.
$99.00/month
Capacity for 1 running agent · 50 active hours per month
Start my AI agent →$99.00 before tax today and monthly, including $40.00 in Platform Credits after the first payment and each paid renewal.
Unused credits roll over. AI usage draws from your balance; additional credits are available when needed. $0.15 applies per active hour beyond the included allowance. Optional voice and other services cost extra.
Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.
Automatic top-ups start off. Buy credits manually or set automatic top-ups and spending limits in your account. Keep the full Teams controls for models, connections and supported settings.
Before you begin
It uses each client's actual experience and target role, retaining source facts and versioned materials. Your coaching framework shapes the drafts and follow-through.
No. This is an AI agent specialised for career coaching practices, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.
After payment, we prepare your AI agent for career coaching practices, its workflows and your career coaching client support working register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.
No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.
Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.
Compare the working records and business types each specialist is prepared for.
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