Slow lead response
Enquiries sit in forms and inboxes while someone copies details into the CRM and drafts a first reply.
Lead follow-up automationUK AI automation agency
Acxiomflow is an AI automation agency that designs, builds and maintains workflows for UK businesses. We connect the CRM, inbox, helpdesk, documents and AI features you already use, with human approval and reporting on the numbers that matter.
Updated 22 September 2026 · Reviewed by Meherun Noor Rahman
Most UK teams already pay for capable software. The delay is in the work between those tools: replies, handoffs, documents, records, triage and reports.
Enquiries sit in forms and inboxes while someone copies details into the CRM and drafts a first reply.
Lead follow-up automationWork moves between teams by memory, chat and copy-paste, so ownership and status are easy to lose.
Handoff workflow guidePDFs, forms, CVs and invoices are read by hand, then re-typed into spreadsheets or records.
Document processingPipeline data lags because people update records after the work is already done.
CRM workflow automationTickets wait for someone to classify urgency, summarise the request and route it to the right person.
Customer support automationWeekly numbers are assembled from several tools, then rewritten from a blank page.
Reporting automationDelivery is scoped around one business process, not a catalogue of disconnected automations. See the full workflow services hub for individual service pages.
We review one current process, the tools involved, approval points, bottlenecks and the numbers that matter.
We map the trigger, data checks, AI assistance, human approval, system updates and fallback paths before anything is built.
We connect the tools, configure the AI steps, test with real examples and handle the edge cases that usually break a first version.
We launch the workflow into the systems your team already uses, with a named owner and a clear operating path.
Your team gets plain-language handover: what the workflow does, what to check, and when to escalate.
We can monitor performance, fix issues, review results and extend the process as the business changes.
Every engagement follows the same operating pattern used across Acxiomflow projects. The diagram below is the sequence your team should expect, from the first audit to maintenance.
Review the current process, tools, AI features, repetitive work and the metric that would show improvement.
Choose one high-value workflow and map handovers, approvals, connections and success measures.
Connect tools, configure AI, test with real examples, improve prompts and handle exceptions.
Launch the workflow, document how it works and train the people who will use and supervise it.
Monitor results, fix issues and keep improving the process as tools and demand change.
01
Trigger
02
Checks + AI
03
Human approval
04
System update
05
Report + fallback
A business event starts the chain. Rules and AI prepare the next step. A person approves what must not run unsupervised. The result writes back into your tools, and exceptions stay visible.
These are common first processes for UK service businesses. They are patterns, not a requirement to automate the same decisions. More demonstrations live on the workflow examples page.
A form or inbox enquiry is structured, summarised, matched to a CRM record and prepared for a first response, with a person approving outreach that matters.
Open this serviceIncoming requests are classified, summarised and routed. Sensitive or unclear cases escalate instead of being answered automatically.
Open this serviceRepeated reading of PDFs, invoices, CVs or forms becomes a controlled extraction step that writes structured fields into the right system.
Open this serviceUpdates, enrichment and tasks happen as part of the work, so records do not wait for someone to copy them later.
Open this serviceApproved sources are collected on a schedule, exceptions are flagged, and a person reviews the narrative before it is sent.
Open this serviceAnswers and summaries are grounded in approved internal sources, with a review step when the next action affects a customer or a record.
Open this servicen8n, Make, Zapier, APIs, AI models, CRMs, helpdesks and databases are implementation choices. We pick what fits the workflow you already run, rather than moving the business onto a new stack.
n8n, Make, Zapier
Webhooks, REST APIs, spreadsheets, PostgreSQL, Supabase
OpenAI, Claude, Gemini, and rules where a model is the wrong tool
CRMs, helpdesks, inboxes, documents and project tools you already use
These summaries are taken from the published Acxiomflow case studies. Client identities are withheld. The numbers describe those engagements and are not a guarantee of identical results elsewhere.
Recruitment
Baseline
A 10-person recruitment agency received around 100–150 applications a day. Recruiters spent part of every morning reading CVs, copying details into the CRM and preparing first-touch emails.
Intervention
The workflow extracts candidate details, compares them against agreed role criteria, prepares a CRM summary and a first-touch draft, then waits for recruiter approval. Unclear candidates go to a review queue instead of automatic rejection.
AI prepares and scores. The recruiter makes the hiring-related decision.
The delivered engagement targeted recovering about 8–12 recruiter hours a week from repetitive screening, triaging strong applications within about 10 minutes, more consistent CRM fields, and routing every low-confidence recommendation for human review. These are the results of that engagement, not a guarantee of identical results elsewhere.
Read the full case studyProperty services
Baseline
A property-service business managing several hundred properties received maintenance requests by email, forms and attachments. Staff read each request, identified the property, judged urgency and tracked progress across inboxes and spreadsheets.
Intervention
Requests are contextualised, classified and summarised. Routine items are routed; high-risk, unclear or high-cost cases escalate. Draft messages are prepared, and sensitive external action waits for a person.
AI classifies and prepares. People approve safety-sensitive, commercial and customer-facing decisions.
The engagement targeted initial triage within about 5 minutes, recovering about 5–8 admin hours a week, a visible status and owner on every request, and missing information flagged before downstream work. Identical results are not guaranteed for other businesses.
Read the full case studyAgency and professional services
Baseline
A 15-client agency assembled weekly or monthly reports from several platforms and spreadsheets. A senior team member spent hours collecting numbers, reconciling discrepancies and writing commentary.
Intervention
A scheduled trigger collects approved data, validation flags missing figures, AI prepares a structured summary, and the account owner reviews numbers and narrative before distribution.
AI prepares the analysis. The account owner validates the numbers and approves the narrative.
The engagement targeted recovering about 4–6 reporting hours a week, a draft available on the scheduled day, visible input exceptions, and a person reviewing every published narrative. Treat these as that engagement’s outcomes, not a promise of the same numbers for every team.
Read the full case studyStart with a free workflow audit, then choose a published starting point. Prices are in GBP, exclude VAT and third-party usage, and are confirmed in a written proposal. Full detail is on the pricing page.
Find the right first workflow
£807.50
fixed price · Delivered in 10 working days
A focused operational review that turns one messy process into a prioritised, numbers-backed implementation plan.
Start with a blueprintThe core build
£3,825
from, fixed scope · Live in 2–4 weeks
One to three production-ready automations connected to the tools your team already uses, with testing, monitoring and handover included.
Scope a workflow sprintKeep improving
£1,530
from / month · Ongoing, reviewed quarterly
Monitoring, maintenance and a steady improvement rhythm for businesses treating automation as an operating capability.
Discuss ongoing supportFixed-price pilot
A focused inbound lead workflow that replies quickly, gathers the details your team needs, offers the right next step and updates your CRM without forcing a platform change.
£2,125 · Live in 10 working days
Review the lead response pilotThe differentiator is a supervised working process: approval, monitoring, fallbacks, documentation and measurement, without a forced migration.
AI prepares summaries, drafts, classifications or recommendations. People keep the decision on important, customer-facing or high-risk actions.
Important steps, errors and handoffs can be logged so the workflow is visible rather than sitting as a silent background job.
Unclear, incomplete or failed steps can retry, alert or queue for a person instead of stopping the work with no owner.
The team gets an operating guide in plain language: what runs, what to check, and how to request a change.
A pilot starts from a baseline such as time spent, response speed, exceptions or data completeness, then reports what changed.
We connect the CRM, inbox, helpdesk, spreadsheets, documents and AI features you already pay for. The value is the process, not a new platform.
Read more on production AI and security and about Acxiomflow.
Acxiomflow publishes starting prices for a focused blueprint, a connected workflow sprint, a lead-response pilot and ongoing maintenance. Current starting points include the Automation Opportunity Blueprint at £807.50, the Connected Workflow Sprint from £3,825, the Rapid Lead Response Pilot at £2,125, and FlowCare from £1,530 a month. A written proposal confirms scope, systems and anything that needs separate pricing before work begins.
A focused inbound lead pilot is scoped to launch in 10 working days. A connected workflow sprint is typically live in 2–4 weeks for one to three production workflows. More interconnected processes follow an iterative cycle: build, monitor, then refine. The useful milestone is a reliable run with predictable approval points, not the first untested draft.
We implement with the tools a business already uses where they can be connected. That often includes n8n, Make or Zapier, APIs and webhooks, models such as OpenAI and Claude, CRMs, helpdesks, spreadsheets and databases. The tool is an implementation choice. The process — trigger, checks, AI assistance, approval, update and fallback — is the product.
Workflows are designed around mapped systems, least-privilege connections, human oversight for high-impact actions, logging and tested releases. Acxiomflow documents data flow and failure modes before build. We do not claim certifications that are not published on the site. See the production AI and security page for the delivery standard we currently describe.
Unless a step is appropriate and approved to run automatically, AI prepares and a person decides. Typical checkpoints include customer-facing messages, commercial changes, hiring-related routing, safety-sensitive requests and low-confidence recommendations.
Build and deploy include testing, handover and, on the core sprint and pilot, a period of post-launch support. Deeper training and ongoing monitoring, fixes and improvement are available as separate service levels, including FlowCare.
It is a fit when useful tools are already in place, but the work between those tools still depends on people remembering every step. Typical teams include service businesses, agencies, recruitment firms, operations managers and founders who need repetitive admin connected without replacing their software stack.
Book a free AI workflow audit. Bring one repetitive process. We review the current tools, handoffs and approval points, then outline a practical first workflow to connect, measure and improve.
Book a free AI workflow audit. We will look at one repetitive process, the tools involved, and whether a supervised automation layer is the right next step.