.png&w=3840&q=75)
AI Automation Agency That Cuts Costs and Multiplies Output
Most businesses repeat the same manual tasks hundreds of times a week: lead qualification, appointment scheduling, follow-up emails, report generation, CRM data entry. Tkist Digital AI automation services eliminate these without staff time. Our agency builds automation pipelines that handle these tasks consistently, at scale, and without errors, so your team spends time on work that actually requires a human.
0×
Avg operational speed increase
0%
Avg cost reduction on automated tasks
0hr
Average time from spec to first working demo
The Challenge
The 2.5 hours your team burns daily on tasks that never needed a human
The typical knowledge worker loses 2.5 hours a day to tasks a properly built system could finish in seconds. Lead routing, data entry, follow-ups, CRM updates, weekly reports, these repetitive jobs eat up your most expensive resource: the focus of your best people. Every hour spent on admin is an hour not spent on decisions that actually grow the business.
We've built more than 150 automation workflows since 2018. The fastest payoff consistently comes from three places: lead routing and response speed, CRM data quality, and reports that used to be assembled by hand. Together these three typically hand clients back 10 to 20 hours a week from the start.
10×
Avg operational speed increase
Package Contents
Everything bundled into your ai & automations engagement
View Full ScopeWorkflow Automation
n8n, Make, Zapier, multi-step automations across your existing software stack.
AI Chatbots
Knowledge-base chatbots trained on your documents, products, and FAQs.
Lead Qualification
Automated scoring and routing of inbound leads based on your criteria.
Document Processing
Automated extraction, classification, and routing of PDFs, emails, and forms.
Reporting Automation
Scheduled report generation pulling from multiple data sources into one view.
Custom AI Pipelines
Bespoke Python or Node.js backends for complex multi-step AI workflows.
Our Process
From the first conversation to results you can measure
Process Audit
We map your team's daily tasks, quantify time spent per activity, and identify the top 5 automation candidates by ROI.
Architecture Design
We design the workflow, choose the right tools for each task, and produce a technical spec for your sign-off before any build starts.
Build & Test
We build the automation, test with real-world data including edge cases, and validate every output before connecting it to live systems.
Deploy & Monitor
We deploy to your environment, train your team, and set up error alerts and monitoring so you are never flying blind.
Common Automation Builds
The automation workflows we build most often
These four automation types consistently deliver the quickest payback. Most clients have at least two of them live within the first 30 days.
Lead Response Automation
Saves 3 hrs/dayTrigger: Website form submission or email received
- 1Pull lead details and score them against your ICP using AI classification
- 2Enrich the contact via Clearbit or Apollo with company, title, and LinkedIn data
- 3Route the lead to the right rep or team by territory, segment, or product interest
- 4Send a personalised first-touch email within 60 seconds, AI-drafted, sent from the rep
- 5Log a CRM task and Slack alert for the rep with full lead context attached
CRM Data Entry Pipeline
Saves 2 hrs/dayTrigger: Meeting ends / call completed in Zoom or Teams
- 1Transcribe the call and pull out action items, next steps, and deal-stage signals with GPT-4o
- 2Update the CRM opportunity with a summary, outcome, and stage change
- 3Create follow-up tasks with deadlines assigned to the right rep
- 4Draft a follow-up email for rep review, ready to send within 90 seconds of the call ending
Weekly Report Generator
Saves 4 hrs/weekTrigger: Scheduled, every Monday 07:00
- 1Pull data from GA4, ad platforms, CRM, and email tools via API
- 2Run a variance check, flagging anything outside tolerance against the prior 4-week average
- 3Generate an executive summary paragraph with an LLM using the flagged data points
- 4Format into a branded PDF and email it automatically to the stakeholder list
Invoice Processing Flow
Saves 1.5 hrs/dayTrigger: Email attachment received (PDF invoice)
- 1Detect the invoice attachment and route it to the processing queue
- 2Pull supplier name, invoice number, amount, due date, and line items using document AI
- 3Match against the purchase order in the accounting system and flag discrepancies
- 4Create a finance approval task, auto-approving under threshold and escalating above it
By The Numbers
Five operational drains AI automation removes, and the payoff behind each
2.5 hrs
lost daily by every knowledge worker to tasks automation could handle
That adds up to 12.5 hours a week per person. For a ten-person team, that's roughly one and a half full-time roles worth of effort spent on tasks an automation pipeline could handle for a fraction of the cost, with no errors and no sick days. Process audits reveal this gap more clearly than almost any other efficiency metric.
21×
more likely to qualify a lead when contacted within 5 minutes versus 30
Speed-to-lead is the single most controllable lever in sales performance, and it's purely an automation problem. Most CRMs fire off a notification email that sits unread for hours. An automated response within 60 seconds measurably lifts close rates, at essentially zero extra cost per enquiry.
60%
average cost reduction on tasks handed to a well-built automation pipeline
Once you account for the real cost of a manual task, salary time, error correction, management overhead, automation typically delivers a 50 to 70 percent reduction. Most clients recoup the build cost within three months, and the system keeps running for years at near-zero marginal cost.
0.01%
error rate for automated data processing, versus roughly 1% for manual entry
Manual data entry carries a well-known 1 percent error rate, translating to thousands of bad records a year in any mid-sized database. Automated processing removes transcription error almost entirely. In our post-automation audits, CRM quality scores routinely climb from under 40 percent to above 95.
40%
of Fortune 500 companies already use AI automation for tier-1 customer interactions
AI automation has stopped being a competitive edge and started becoming table stakes. Businesses investing in automation infrastructure now are lowering their cost base and freeing their best people for decisions only humans can make. Companies that wait are building a structural cost disadvantage that grows every quarter.
A Real Outcome
Software, 40-Rep Enterprise Sales Team
14 hours per rep per week returned. Lead response time from 6 hours to 4 minutes.
Hours saved per rep / week
Before
0 hrs
After
14 hrs
Lead response time
Before
6.2 hrs
After
4 mins
CRM data quality score
Before
34%
After
97%
We saw the payoff within the first two weeks. Work that used to eat up half a day now just happens in the background while the team focuses on selling.
Yasmin H.
VP of Sales
B2B SaaS Sales Team
Want to see numbers like these on your own project?
Browse case studiesThe Comparison
What you actually get with Tkist Digital versus the alternatives
| Feature | Tkist Digital | Zapier / Make (DIY) | Freelance Consultant |
|---|---|---|---|
| Custom logic for your exact process | ✓ | template-limited | varies |
| AI / LLM layer available | ✓ | basic | varies |
| Error monitoring and alerts | ✓ | basic | not standard |
| Edge case testing before going live | ✓ | ✗ | varies |
| Full documentation delivered | ✓ | ✗ | varies |
| Connects to your existing software stack | ✓ | ✓ | varies |
| Staff training session included | ✓ | ✗ | extra cost |
| 30-day post-deployment support | ✓ | ✗ | not standard |
Our Toolkit
What's in the stack behind your ai & automations project
Industries We Work With
AI & Automations tailored to the sectors we know best
Recent Work
Recent ai & automations projects
Frequently Asked
Questions people ask us about ai & automations
What processes are best suited to automation?
Do I need a technical team to use the automations you build?
Which AI tools do you use?
How long does it take to build an automation?
What happens if an automation breaks?
Can you connect to the software we already use?
Content last reviewed: July 2026
Zero obligation
Book a free process automation scoping session
Tell us what your team spends the most time on. We map your top five automation opportunities by ROI and give you a realistic build cost before you commit to a single hour of work.