AI sales automation agency
Turn sales admin into a pipeline system that actually moves
Tenaxity builds AI sales automation and AI sales agents around your CRM: lead capture, enrichment, routing, follow-up drafting, CRM updates, handover notes and reporting, with human approval where judgement still matters.
Capture
Qualify
Convert
Sales automation should remove drag, not replace the sales process
A good AI SDR does the repetitive work around the rep, not the rep's job. It captures context, keeps the CRM clean, prepares the next action and makes pipeline risk visible before deals go cold.
Lead intake
Every enquiry becomes usable sales context
Forms, inboxes, chat, ads and referrals feed one intake process with source, urgency, company details and next action.
Rep support
AI prepares the work before a human decides
Summaries, research notes, call prep and follow-up drafts are created for review instead of left to manual admin.
Pipeline control
CRM updates happen while the deal is still warm
Stages, owners, notes and tasks are updated around real activity, so fewer deals go stale.
AI SDR and AI sales agents: build around your stack or buy a tool
An AI SDR handles parts of a sales development rep's work: researching leads, drafting first replies and following up. An AI sales agent is the wider idea, an AI step that reads context, picks the next action and uses your tools within limits you set. You can buy a ready-made tool or build the same jobs into the CRM and inbox you already run.
Buying a tool
Quick to start, built around the vendor's process
- Suits high-volume outbound where a standard sequence fits.
- Lead data and messaging rules live in another platform.
- Less control over scoring and what is written back to your CRM.
What we build
AI SDR jobs inside the tools you already use
- Research, scoring and drafting run as n8n workflows connected to your CRM, inbox and Slack or Teams.
- You set which leads qualify, what the AI may say and what needs approval.
- Every action is logged against the CRM record.
Agentic AI for sales, with clear limits
Agentic AI for sales means an AI step chooses between actions, such as checking the CRM, looking up the company or drafting a reply, instead of following one fixed path. It helps when leads vary, and it needs guardrails.
Narrow tools
Only the actions you allow
The agent can read, research and draft. Sending or changing deal values stays off unless you allow it.
Approval gates
People sign off what customers see
Customer-facing or commercial steps go to a rep for approval in Slack, Teams or the CRM first.
Logs and limits
Every run can be checked
Each run records inputs, actions and output. Volume limits stop one fault repeating at scale.
Where AI sales automation fits best
We focus on the gaps between marketing, sales, CRM and delivery, where pipeline value quietly leaks.
Before the rep gets involved
Capture inbound leads, enrich company and contact data, classify intent and urgency, route to the right owner and prepare a short sales brief. When the workflow needs branching, API calls, and monitored handoffs, this can be built with n8n automation.
After the conversation happens
Turn call notes and email threads into CRM updates, next-step tasks, follow-up drafts, deal risk flags, handover notes, and weekly pipeline reporting.
Capture
Unify form, email, ad, chat, and referral leads.
Enrich
Add company, role, source, and context fields.
Score
Classify intent, fit, urgency, and missing data.
Act
Create tasks, drafts, routing, and alerts.
Report
Monitor speed, source quality, and next actions.
Automations we can build into your sales stack
Practical workflows that make your existing CRM and inbox more useful. For the intake side in more depth, see AI lead generation automation; for keeping records accurate, see AI CRM automation.
Inbound lead triage
Classify and route leads from forms, inboxes, ads, and chat. Create CRM records, assign owners, and alert the right person when a high-fit lead arrives.
AI lead enrichment
Pull public company context, detect role and sector, fill missing CRM details and flag records that need checking.
Follow-up assistant
Draft personalised follow-up messages from call notes, emails, CRM fields, and agreed next steps, with approval before anything is sent.
CRM hygiene agent
Find stale deals, missing fields, duplicate contacts, overdue tasks, inconsistent lifecycle stages, and records that need attention.
Sales handover notes
Summarise requirements, stakeholders, timeline and delivery risks when a deal moves from sales to operations.
Pipeline reporting
Weekly views of source quality, response time, open next actions, stale deals and win/loss notes.
What a better sales workflow changes
The aim is not to make sales feel automated. It is to make every good lead easier to prioritise, follow up and hand over.
Before
Sales work is scattered across tools
- Leads arrive in different places with inconsistent detail.
- CRM updates depend on memory after calls and meetings.
- Follow-ups are delayed because context is hard to reconstruct.
- Managers cannot trust pipeline data without manual checking.
After
The system carries the admin load
- Every lead is captured, enriched, routed, and prepared.
- Reps review AI summaries and drafts instead of starting from blank.
- CRM data stays closer to the real sales conversation.
- Reporting shows next actions, risk, and source quality.
A worked example with simple numbers
This is a hypothetical example to show the arithmetic, not a client result.
Assumptions
60 inbound leads a week
Say a B2B services team gets 60 inbound leads a week and a rep spends 10 minutes on each researching, logging and replying. That is 600 minutes, or 10 hours.
With the workflow
The workflow prepares, the rep reviews
Each lead is enriched, logged, scored and given a draft reply. If review takes 3 minutes per lead, that is 180 minutes, or 3 hours.
Result
About 7 hours back each week
Under those assumptions the team saves about 7 hours a week. The rep still decides what is sent and who to call.
Systems we commonly connect
Most builds connect the tools your team already uses. Replacing them is only worth discussing when the process itself is broken.
Deal records
HubSpot, Pipedrive, Salesforce, Zoho, Attio, Airtable, or custom CRM tables.
Sales context
Gmail, Outlook, shared mailboxes, meeting notes, call summaries, and reply history.
Lead sources
Website forms, LinkedIn, ads, landing pages, chat tools, events, referrals, and lists.
Alerts and tasks
Slack, Teams, Asana, Monday, ClickUp, Notion, sheets, dashboards, and email alerts.
Questions sales teams usually ask first
Short answers for teams weighing up AI in sales.
Will AI send sales emails automatically?
Only where that is appropriate. For most teams, AI drafts or prepares outreach and a human reviews before messages go out, especially for higher-value leads.
Can this work with our existing CRM?
Yes. We usually build around the CRM already in place, then improve the intake, hygiene, follow-up, and reporting workflows around it.
What if our data is messy?
That is common. We can start with deduping, missing-field checks, lifecycle rules, and simple ownership logic before adding more advanced AI steps.
How do you avoid generic AI outreach?
By using real context: source, company details, previous conversation, offer fit, meeting notes, and human-approved messaging rules.
Will an AI SDR replace our sales reps?
No. It takes over research, logging and first drafts so reps spend more time in conversations. Decisions on fit, pricing and relationships stay with people.
Should we buy an AI SDR tool or build workflows?
A ready-made tool can suit high-volume outbound. If leads need context from your CRM and inbox, or you want control over the rules, a build around your stack usually fits better.
How do we get started?
Book a free audit. We map how leads move from enquiry to closed deal, pick the first workflow worth automating and agree where approval sits.
Recommended next step
Map the sales admin your team should not be doing manually
Book a free AI workflow audit and we will identify where AI sales automation can safely reduce admin, improve follow-up, and make the CRM more reliable.
- Lead intake map
- CRM hygiene checks
- Approval points
- First workflow recommendation