Customer follow-up & CRM
Set up a manageable customer pipeline, reminders, and follow-up workflows so your team knows who needs a response and what happens next.
Practical examples for your business.
01
Closed deal → customer set up in the ERP
When the deal is marked won, the customer is created in the ERP and billing system with the details already in the CRM, and operations is told it's ready.
The problem: A deal closes and someone re-enters the customer, contacts and payment terms in the ERP and billing system, sometimes days later.
02
New leads → the right person
New leads are assigned by the rules you set (territory, product line or account size), and the owner is notified with the details.
The problem: Leads from the website, trade shows and referrals sit in a shared inbox until someone sorts them.
03
One customer record across systems
Changes made in the system you treat as the source of truth are copied to the others, with a log of what changed.
The problem: Addresses, contacts and payment terms are updated in one system and not the others.
A practical approach
Connect the tools your team already uses.
The right starting point depends on your people, information, and business goals. We agree the scope together.
- Common systems: Salesforce, HubSpot, Zoho CRM, Pipedrive, Microsoft Dynamics 365, Freshsales
- Start steps from deal stage changes, new records or field updates
- Create and update customers in your ERP or accounting system
- Assign leads and tasks by rules you define
- Keep contact and account fields in step across systems
- Agree on data access and review steps before implementation
- Define a clear scope, price, and handoff together
Systems around the workflow
Build around your existing crm tools.
Keep your CRM as the record of what was sold, and make sure operations and billing actually hear about it. We identify the source of truth, permitted access, field mapping, and a safe way to handle failed or repeated requests.
Salesforce
HubSpot- Zoho CRM
Pipedrive
- Microsoft Dynamics 365
- Freshsales
The records and rules
Agree which system owns customer identity, contact preferences, account details, and deal stage. Map required fields before triggering a handoff to operations or billing.
The staff decisions
Keep uncertain customer matches and incomplete deal handoffs in a staff queue. Define who can approve a new account or change a commercial field.
What the pilot should prove
Test existing customers, repeated events, reopened deals, changed ownership, missing fields, and a destination system that is temporarily unavailable.
When a connection fails
Keep a traceable record of what was requested, what completed, and what needs review. Agree retry limits, duplicate protection, staff fallback, and the owner who resolves a failed update before launch.
Everyday business, practical AI
See the complete workflow.
These are proposed implementations we can scope around your business. Explore the steps, the staff decisions, and a sensible first pilot.
Customer service centers
AI assistance for service-center staff
Help agents handle long conversations without searching across several tools. Prepare a summary, retrieve the relevant procedure, and suggest a response while the employee keeps control of what is sent.
Customer service centers
AI assistance for service-center staff
Help agents handle long conversations without searching across several tools. Prepare a summary, retrieve the relevant procedure, and suggest a response while the employee keeps control of what is sent.
From request to completion
- 1A support ticket or call transcript becomes available to the assigned employee.
- 2The assistant summarizes the issue and retrieves relevant approved procedures.
- 3Permitted lookups gather account status and previous related cases.
- 4The agent reviews the proposed reply, edits it, and approves any allowed next action.
- 5The system records the outcome and highlights recurring questions for the knowledge owner.
Your team stays in control
Keep draft replies visibly separate from sent messages. Restrict access to the agent’s role. Avoid unsupported promises and retain links to the information used.
What connects
Ticketing system, call transcripts where permitted, knowledge base, CRM, and account lookup tools.
A practical first pilot
Start with one support queue and suggestion-only replies. Review representative cases with supervisors before enabling any automated action.
How to evaluate it
Compare handling time, review effort, reply quality, re-opened tickets, and employee feedback.
Local businesses & multi-location teams
Customer feedback into useful actions
Turn incoming feedback into a clear response task and a useful picture of recurring issues. Prepare a suggested reply while managers control public responses and service recovery.
Local businesses & multi-location teams
Customer feedback into useful actions
Turn incoming feedback into a clear response task and a useful picture of recurring issues. Prepare a suggested reply while managers control public responses and service recovery.
From request to completion
- 1A review, survey response, or feedback message reaches the agreed intake channel.
- 2AI suggests a topic and summarizes the specific issue.
- 3Rules assign the right location or team and flag urgent complaints.
- 4A manager reviews the proposed response and any promised resolution.
- 5The team records the outcome and checks recurring themes across locations.
Your team stays in control
Do not fabricate reviews or customer experiences. Staff approve public replies, offers, and disclosure of customer information.
What connects
Supported review or survey sources, location records, CRM or task queue, and approved publishing access.
A practical first pilot
Use one feedback source and draft-only responses, with a manager reviewing tone, accuracy, and routing.
How to evaluate it
Review response time, unresolved issues, classification corrections, and recurring themes addressed by the business.
Implementation, end to end
A working process your team can operate.
01
Understand the current work
Walk through a real request with the people doing the job. Identify the source records, decisions, bottlenecks, and exceptions before choosing software.
02
Build a useful pilot
Define a limited starting scope and create a working version. Test representative requests alongside difficult cases, missing data, and failed connections.
03
Launch with clear ownership
Agree access, approval steps, acceptance checks, and a release plan. Show staff how to use the system, review exceptions, and contact the responsible owner.
04
Maintain and improve
Provide the agreed documentation and handoff. Review usage, operating costs, and issues; define support coverage and future changes in the engagement.
Connect the rest of the workflow.
Connected systems & reporting
Connect the systems you already use, clean up agreed data, and create useful operational views of customers, jobs, orders, and exceptions.
Before we begin
The questions that shape your project.
Bring the business problem. We can help translate it into a practical technical plan.
Can you work with our existing software?
We review the systems you use, available APIs or supported imports, subscription requirements, and access permissions. The scope identifies which connections can be implemented and which need an alternative.
What do you need from our team?
A process owner, examples of the current work, and access to the systems included in the scope. Your staff help confirm the business rules, review a pilot, and decide whether the result is ready to use.
How are cost and success agreed?
The proposal defines deliverables, assumptions, responsibilities, acceptance checks, and pricing. Third-party subscriptions and usage costs are identified separately. We choose meaningful measures from your existing process rather than promise an untested result.
What happens after launch?
The agreement defines code and account ownership, documentation, training, deployment responsibilities, and any ongoing support. Staff get a clear way to handle failures and requests for changes.
Let’s talk about what you want to improve.
A short conversation can help you decide where AI and better systems would make a useful difference.