AI Automation & Power Platform Consulting

Automate the work.
Ship faster decisions.

LuciraFlow builds AI copilots, Power Automate workflows, and lightweight Power Apps that save your team hours every week — without adding headcount. Fixed scope. Fast delivery. Enterprise-grade security.

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Works with Microsoft 365 · Power Platform · HubSpot · Salesforce · Dynamics

What we build

Services

Four focused offerings. Each one delivers a measurable outcome, not a nice-to-have.

Most popular

AI Wrapper Solutions

Put AI to work on your actual documents and data.

Internal LLM copilots, document Q&A, proposal drafting, email summarisation, and AI knowledge bots — all running inside your existing Microsoft 365 or cloud environment.

Outcomes

  • Proposals drafted in minutes, not hours
  • Instant answers from internal policies and SOPs
  • Consistent, reviewed AI output — no hallucination risk
  • Runs inside your tenant, no data leaves your boundary
Sales copilotHR knowledge botContract Q&ASupport summarisation

What's included

  • LLM integration (Azure OpenAI or equivalent)
  • Custom retrieval (RAG)
  • Teams or SharePoint front-end
  • Admin review layer
From £2,500Fixed scope or sprint-based

Power Automate Workflows

Kill the manual approvals and missed follow-ups.

Automated approval chains, cross-system notifications, CRM updates, and report delivery — all built in Power Automate with full audit trails.

Outcomes

  • Approvals that used to take 2 days now close in 2 hours
  • Zero missed follow-up notifications
  • CRM data stays clean and current automatically
  • End-to-end audit log for compliance
Quote approvalsOnboarding automationCRM → SharePoint syncWeekly ops reports

What's included

  • Flow design and build
  • Error handling and alerts
  • Connector setup (HubSpot, Salesforce, etc.)
  • Handover documentation
From £1,200Fixed scope or sprint-based

Power Apps

Replace the spreadsheet your team secretly hates.

Lightweight, mobile-ready internal apps for job tracking, inspection forms, inventory management, and anything else currently living in a messy Excel file.

Outcomes

  • Single source of truth replaces multiple spreadsheets
  • Field teams submit data instantly from mobile
  • Managers see live dashboards instead of chasing updates
  • Automated downstream actions triggered on submission
Field inspection formsJob tracking appAsset registerInternal request portal

What's included

  • Canvas or model-driven app build
  • SharePoint or Dataverse backend
  • Role-based access
  • Power Automate triggers
From £2,000Fixed scope or sprint-based
Data required

CRM Machine Learning

Turn historical CRM data into a predictive edge.

Deal risk scoring, lead scoring, churn risk models, and forecast improvement — only proposed when you have sufficient clean historical data. If your data isn't there yet, we start with rules and automation first.

Outcomes

  • Reps focus on deals most likely to close
  • Churn caught weeks earlier, not after the fact
  • Forecast accuracy improves without changing your CRM
  • Scores refresh automatically as new data arrives
Deal risk scoringLead scoringChurn predictionPipeline forecasting

What's included

  • Data assessment (free)
  • Model build and validation
  • CRM score injection
  • Monitoring dashboard
From £4,500 after data assessmentFixed scope or sprint-based

Prices are indicative starting points, not fixed commitments. All engagements are scoped individually.

The process

How It Works

A repeatable five-stage process designed to reduce risk, move fast, and keep you in control at every step.

01

Discover

We map your current workflows, identify the highest-impact automation opportunities, and assess your data quality. You get a clear picture of what to build — and why.

⏱ 1–2 days
02

Prototype

A lightweight proof-of-concept shows the solution working against real (or anonymised) data before any commitment to full build. No surprises at launch.

⏱ 2–5 days
03

Build

Fixed-scope delivery inside an agreed sprint. You review at every checkpoint. Code, flows, and AI outputs are documented as we go.

⏱ 1–4 weeks depending on scope
04

Deploy

We deploy to your environment — with least-privilege access, environment separation, and a proper handover. Your team can operate it from day one.

⏱ 1–3 days
05

Support

Post-launch support to catch edge cases, train your team, and iterate. Retainer available for ongoing changes as your business evolves.

⏱ Ongoing
Typical timelines: Most automations ship in 1–2 weeks; apps in 2–4 weeks; AI wrappers in 1–3 weeks depending on data access; ML only after data assessment.

Results

Built for outcomes, not deliverables

Representative examples. Company names anonymised. Metrics are real from comparable engagements.

B2B SaaS — Sales Operations

AI proposal copilot cuts drafting time by 80%

Challenge

A 40-person SaaS company was spending 3–4 hours per proposal pulling content from Confluence, past deals, and product notes. Proposals were inconsistent and frequently delayed pipeline.

Solution

We built an internal AI copilot connected to their knowledge base and past proposals via retrieval-augmented generation (RAG). Sales reps describe the deal; the co-pilot drafts a structured proposal in under 10 minutes.

AI WrapperRAGSharePointTeams

Proposal drafting time

3–4 hours→< 20 min

Proposal consistency score

Informal→94% template adherence

Time to first send

2–3 days→Same day
Professional Services — Operations

Approval workflow automation removes 12 hours of admin per week

Challenge

A consultancy was routing purchase orders, expense approvals, and timesheet sign-offs via email. Finance saw delays of 3–5 days for routine £200 approvals; two FTE tracked status manually.

Solution

A Power Automate approval system with tiered thresholds (auto-approve under £100, line manager at £100–500, director above) connected to Dynamics 365. Full audit trail and escalation built in.

Power AutomateDynamics 365ApprovalsAudit trail

Average approval time

3.5 days→4 hours

Manual tracking hours/week

12 hrs→< 1 hr

Approval SLA compliance

61%→97%
Manufacturing SMB — Sales

Lead scoring model improves rep focus and shortens sales cycle

Challenge

A manufacturer with 4 years of Salesforce data had no consistent way to qualify inbound leads. Reps spent equal time on small one-off buyers and high-volume prospects.

Solution

After a data assessment confirmed sufficient clean history, we built a gradient-boosted lead scoring model trained on deal-won/lost signals. Scores update nightly in Salesforce. High-score leads go to a fast-track queue.

CRM MLSalesforceLead scoringGradient Boost

Conversion rate (high-score leads)

11%→29%

Average sales cycle

34 days→22 days

Revenue from high-score segment

Baseline→+38% in 6 months

Stack

Built on tools you already pay for

No exotic dependencies. We extend your existing Microsoft 365 licence and connect it to best-in-class AI and CRM tools.

Microsoft Power Platform

  • Power Automate
  • Power Apps
  • Power BI
  • Dataverse

Microsoft 365 & Azure

  • SharePoint
  • Teams
  • Azure OpenAI
  • Azure Functions
  • Entra ID

CRM & Sales Tools

  • HubSpot
  • Salesforce
  • Dynamics 365
  • Custom connectors

Data & Infrastructure

  • SQL Server
  • Azure SQL
  • Blob Storage
  • Logic Apps

AI & ML

  • Azure OpenAI (GPT-4o)
  • LangChain / LlamaIndex
  • RAG pipelines
  • scikit-learn (ML models)

Security

  • Least-privilege access
  • Audit trails
  • Environment separation
  • MFA & Conditional Access
Security posture: Least privilege access, audit trails, and environment separation on every engagement. AI outputs are reviewed before use. No sensitive data is stored outside approved systems.

FAQ

Common questions

Security, timelines, pricing, and data — answered plainly.

Get in touch

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Disclaimer: AI outputs are reviewed before use. No sensitive data is stored outside approved systems.