Will automation replace our staff?

In practice, no. Clients redeploy people from clerical work to revenue-generating and judgment-heavy work. Automation removes tasks, not the need for skilled people.

How long does deployment take?

A first production agent typically goes live in three to five weeks. Full multi-workflow programmes run three to six months in phased releases.

What if the AI gets something wrong?

Confidence thresholds, approval gates and escalation rules mean uncertain cases go to a human. Every action is logged and auditable.

Does this work with our existing systems?

Yes. We integrate with your CRM, finance, support and internal tools through APIs. Replacing your stack is rarely necessary.

Is our data used to train public models?

No. We use enterprise agreements with no-training terms, and sensitive data can be processed within your own infrastructure.

Which process should we automate first?

The one with high volume, clear rules and direct revenue impact, usually lead response and qualification. Discover ranks candidates by value and feasibility.

How do you measure automation ROI?

Hours saved, cost per task, response times, conversion impact and error rates, baselined before deployment and tracked live.

Who maintains the agents after launch?

We do, under a managed operating agreement: monitoring, tuning, knowledge base updates and new workflow releases.

Can our team update the knowledge base?

Yes, through a governed interface with versioning and approval, so accuracy is maintained as products and policies change.

How do you handle compliance and regulated processes?

Approval gates, retention rules, role-based access and complete audit trails are configured to your regulatory requirements.

What happens if a system we use changes its API?

Monitoring alerts us to integration failures, and maintenance is included in the operating agreement.

Yes, and we recommend it. A single high-value workflow in production proves value and funds the wider programme.

AI Automation

Deploy an AI workforce that never sleeps

Your team should be closing, advising and building, not copying data between systems. We design, deploy and govern AI agents that qualify leads, answer customers, generate proposals, chase invoices and keep your CRM honest, twenty-four hours a day.

Request a Proposal

24/7

Agent availability

<60s

Lead response time

Human

Review on every decision gate

System map

Live

AI Automation

01Workflow and data audit
02Agent architecture design
03Knowledge base grounding
04Integration and orchestration
05Human review and guardrails
06Live monitoring dashboard

OutcomeMeasurable, compounding growth

What is quietly costing you growth

The patterns we see before every ai automation engagement, and the revenue they hold back.

Skilled people doing clerical work

Senior salaries spent on data entry, copy-paste between tools, follow-up chasing and manual reporting.

Leads lost to slow response

Enquiries that wait hours go to whoever replied first. Speed to lead is the single most under-managed revenue lever.

A CRM nobody trusts

Incomplete records, missing activity and stale stages make forecasting guesswork and reporting fiction.

Processes that live in people's heads

When a key person is unavailable, the process stops. Nothing is documented, so nothing is scalable.

Support volume that scales with growth

Every new customer adds ticket load, so headcount grows in lockstep with revenue and margin stays flat.

Pilot projects that never reach production

Isolated AI experiments with no integration, no governance and no owner quietly stall after the demo.

One connected system instead of a stack of deliverables

We build production automation, not prototypes. Each agent has a defined job, grounded knowledge, explicit guardrails, an escalation path and a human owner, orchestrated into your existing systems rather than replacing them.

Process before technology

We map and simplify the workflow first. Automating a broken process only produces faster failure.

Specialised agents

Narrow, well-scoped agents with grounded knowledge outperform one general assistant, and they are far easier to govern.

Governance by design

Approval gates, audit logs, confidence thresholds and human escalation are built in from the first deployment.

Workflow

1
Workflow and data audit
2
Agent design and guardrails
3
Integration and orchestration
4
Supervised pilot in production
5
Scale and continuous tuning

Everything inside the engagement

Scoped as a system with clear owners, review gates and outputs you keep.

AI agents

Purpose-built agents for sales, support, operations and reporting, each with defined scope, memory and escalation rules.

CRM automation

Automatic record creation, enrichment, deduplication, activity logging and stage hygiene across your pipeline.

WhatsApp automation

Conversational capture, qualification, booking and follow-up in the channel your customers already use.

Email automation

Triage, drafting, sequenced follow-up and reply detection that keeps deals moving without manual chasing.

Lead qualification

Instant enrichment, scoring against your ICP, routing to the right owner and same-minute first response.

Proposal generation

Branded, accurate proposals and quotes generated from CRM data with approval gates before sending.

Invoice automation

Invoice creation, dispatch, reconciliation and structured payment chasing with escalation rules.

Customer support

Tier-one resolution grounded in your knowledge base, with sentiment-aware handover to human agents.

Knowledge base

A governed, versioned retrieval layer that keeps every agent accurate and consistent as your business changes.

Recruitment automation

Screening, structured scoring, scheduling and candidate communication with bias controls and audit trails.

Operations dashboards

Live visibility into agent activity, resolution rates, exceptions, hours saved and cost per task.

Workflow orchestration

End-to-end automation connecting your CRM, finance, support, marketing and internal tools into one flow.

The AiGnifier Growth Operating System™

Our process from discovery to scale

Eight disciplined stages. Every engagement runs the same operating method, so progress is predictable and auditable.

Discover

Audit the current state: market, competitors, funnel, data and internal workflows. Evidence before opinion.

Define

Fix the strategy, positioning, audience, success metrics and the commercial case for every workstream.

Design

Architect the system: narrative, experience, creative and the AI workflows that will run it day to day.

Deploy

Build and launch with governance, QA and human review gates. Nothing ships without an owner and a metric.

Drive

Activate demand. Campaigns, agents and distribution run in production against agreed pipeline targets.

Measure

One attribution layer for traffic, pipeline, conversion, cost and hours saved. No vanity metrics.

Optimize

Continuous improvement sprints informed by live data and AI analysis of what is actually converting.

Scale

Compound what works, more markets, more channels, more automation, without proportional headcount.

Outcomes the board can measure

We report in pipeline, cost and hours reclaimed, the language your leadership team already uses.

Hours saved per year

Typical mid-size deployment across sales and operations.

<0s

First response time

Every enquiry, every hour, every channel.

Lower cost to serve

Tier-one support resolved without human involvement.

0.0x

Sales team capacity

More selling time from the same headcount.

Revenue growth decoupled from headcount growth

Instant, consistent response to every inbound enquiry

A CRM accurate enough to forecast from

Institutional processes captured in systems, not in individuals

Support quality maintained as customer volume scales

Full audit trails for every automated decision

Technology stack

The tools running behind this service

Governed, interoperable and selected for reliability, not novelty.

OpenAI

Agent reasoning, tool use and structured output.

Claude

Long-context document handling and safe drafting.

n8n

Self-hosted orchestration of production workflows.

Make

Rapid cross-application automation for revenue teams.

Supabase

Postgres, auth, queues and audit logging.

Pinecone

Vector memory grounding every agent in your knowledge.

Twilio

WhatsApp, SMS and voice channel infrastructure.

Lovable

Internal dashboards and human-in-the-loop interfaces.

Logistics

National logistics and distribution group

Four hundred inbound enquiries a week handled manually across email, phone and WhatsApp. Quotes took two days to produce, and roughly a third of enquiries were never followed up at all.

Before

Average first response of 7.4 hours
Quotes produced in 48 hours
34% of enquiries never followed up
Three FTEs on data entry and chasing

After

Average first response of 41 seconds
Quotes generated in under 4 minutes
100% of enquiries acknowledged and routed
Three FTEs redeployed to account growth

Hours saved annually

Faster first response

More quotes issued