CRM agents
An agent with context.And a useful next step.
Arrive at a record with the facts organised, the gaps visible and the next action ready to review. The agent works inside the journey your team already needs to complete.
The short answer
CRM agents
An AI CRM agent uses permitted CRM context to prepare or carry out a defined task. Wall & Fifth scopes agents around practical workflows such as enquiry briefings, follow-up drafts and meeting preparation. We design source visibility, review steps, record permissions, error handling and usage costs alongside the interface.
Agent jobs
Give the agent a responsibility you can measure.
Start with a repeated task that has a clear input and a useful output. For a new enquiry, the agent can read the supplied brief and linked records, produce a concise summary, flag missing information and draft a response. For an open deal, it can prepare a follow-up from the last recorded interaction. For a meeting, it can assemble a briefing without inventing a transcript.
A task detector and a generative assistant are different components. An overdue date can be checked with a rule. Deciding how to phrase a reply may benefit from a language model. Keeping those responsibilities separate makes the system easier to inspect, test and trust.
| Workflow | Proposed output | Review point |
|---|---|---|
| New enquiry | Briefing, missing details and reply draft | An owner checks facts and edits the draft |
| Deal follow-up | Suggested next action and response | Review current status and communication |
| Meeting preparation | Record briefing and questions | Check sources before the meeting |
| Operational handover | Proposed tasks and owners | Approve the handover before records change |
Connected information
Useful context requires useful connections.
An agent should know where an answer came from. The source may be a CRM record, a permitted email thread, a calendar event or a supplied call transcript. We scope how each source is connected, which people may see it, how it links to a record and how quickly changes reach the CRM.
Email access is not a universal checkbox. Microsoft 365 or Google connections require appropriate authentication and consent, with clear private and shared information boundaries. Calendar and transcript services have their own access and export constraints. We verify each connection required by the build.
If the information is absent, inaccessible or outdated, the agent should say so. It should not turn a loose conversation into an agreed fee, promise availability or treat an imported message as an instruction that overrides its allowed behaviour.
Review & execution
A draft is not a sent message.
The review surface shows the proposed output and the records supporting it. The user can edit, approve or dismiss the suggestion. We distinguish generating a suggestion, saving an approved internal change and sending an external communication. None should appear completed before it actually succeeds.
Approved writes need current records, permission checks and a safe retry policy. If a deal changed while the suggestion was being reviewed, the CRM should request a fresh decision. Repeating an approval or retrying a timed-out request should not create duplicate tasks or send a second message.
We scope which actions need individual approval, who can approve them and what is recorded in the activity history. Broader automation can be added only against defined rules and permissions. An agent cannot create authority the user does not have.
Quality & cost
Evaluate the work, not the demo.
Test the agent against representative enquiries, sparse records, contradictory notes and failed connections. Review accuracy, unsupported statements, missed information and whether the proposed action was actually useful. Agree acceptance criteria and a baseline for time spent on the task.
Monitor errors and usage after launch. A model change, a longer context or a background scan schedule can alter quality and cost. Provider budgets, timeouts and failure messages should be visible operational choices.
Meibo currently has an assistant for record-based briefs, drafts and proposed tasks when the AI provider is connected, alongside deterministic workflow monitors. Fully connected email and calendar context, and broader autonomous actions, must be separately implemented and verified for the chosen scope.
Common questions
Before you build.
Clear scope. Clear responsibilities.
A better decision for the business.
Will the agent send emails automatically?
External communications require the review step agreed in the scope. The system distinguishes a generated draft, an approved draft and a successfully sent message. Autonomous sending is not an implied feature of a custom CRM quote.
Can the agent use our email and calendar?
Supported connections can be scoped after checking access, administrator consent, provider capabilities and privacy boundaries. We verify the specific integration rather than assuming every mailbox or calendar is already supported.
Is every automated rule an AI agent?
No. A deterministic monitor can flag overdue work without a model. A generative assistant helps interpret or draft from context. We describe which component does each job and test both against the workflow.
Can the agent make up client commitments?
We instruct and evaluate it to use permitted sources and expose missing information. Proposed commitments, fees and availability must be checked by the responsible person. Grounding and review reduce risk; they do not justify promising perfect model output.
Build around the business
Show us where the
work needs to move.
Your current CRM. The way your team works. The handover that keeps getting missed. We’ll start there.
Discuss your CRM Custom CRM builds from £50,000