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Your website shouldn't end at a contact form.
Sigma Labs engineers digital platforms that connect search, content, interactive tools, AI assistants and business workflows. Attract the right visitor, answer their questions, capture structured intent and connect the outcome directly into the systems your team already uses.
- DiscoverA customer finds the organisation through search.
- EngageContent, calculators and an AI assistant help them.
- QualifyStructured intent is captured, with consent.
- IntegrateInformation flows into the CRM and Microsoft 365.
- AutomateTasks, notifications and follow-up activate.
- OperateThe wider environment keeps running securely.
The interface is only the beginning. We engineer what happens next.
Intelligent Web Platforms is a capability within Systems Integration & Business Automation. The reason Sigma Labs can build a platform that reaches into a CRM, a Microsoft 365 tenant and an approval workflow is that the same team designs the identity, security, integration and AI architecture those systems depend on.
It is not a web-design package, a branding service or link-building. A web agency understands the website. An automation agency understands a model and a trigger. A managed service provider understands infrastructure and support. Sigma Labs engineers the whole path, from the moment a customer discovers the business to the systems, workflows and people delivering the work.
Digital platforms engineered to attract, engage, qualify and connect customers directly into business operations.
Seven parts, engineered as one system.
Modern web applications, built to be relied on.
Fast, secure, accessible and maintainable, with search discoverability and integration designed in rather than added later.
- Speed: static or server-rendered pages, self-hosted fonts, optimised images, minimal client-side script
- Security: strict content security policy, HSTS, framing and referrer controls, server-side credentials only
- Accessibility: semantic landmarks, keyboard navigation, focus states, labelled forms, reduced-motion support
- Reliability: static delivery, tested forms, monitored integrations and clear failure behaviour
- Responsive and mobile-first layouts that keep line lengths and tap targets usable
- Maintainability: one design system, shared components, content that is easy to change safely
We do not quote performance scores unless they have been measured on the live platform and dated.
Search engineered into the platform, not bolted on afterwards.
Discoverability comes from architecture and useful content. We do not sell link-building.
- Information architecture and internal linking that mirror how customers search
- Semantic HTML with one clear heading structure per page
- Title and meta architecture, canonical URLs and indexing controls
- Structured data for the organisation, services, articles, FAQs and breadcrumbs
- Crawlability, sitemap management and robots rules
- Service-page and, where it is genuinely useful, location-page architecture
- Useful content architecture: guides, questions and answers, tools
- Performance foundations that search engines and people both reward
Tools a visitor actually uses, and that tell you what they need.
Calculators, estimators, assessments, questionnaires, diagnostic and readiness tools, eligibility guides and decision support. The free email, DNS and website checks on this site are working examples.
A well-built tool serves three purposes at once.
The visitor gets a useful answer before they have spoken to anyone.
Tools earn specific searches that generic pages cannot.
The inputs become structured intent the business can act on, when the visitor chooses to proceed.
Tools that carry regulated figures, thresholds or scheme names are built on a central fact model with a source and a verification date, so a change is made once and reviewed, not hunted across pages.
A public assistant that knows what it is allowed to say and do.
Information, guidance and structured capture. Never an autonomous adviser.
- Answers approved general questions from controlled business knowledge
- Understands visitor intent and guides them to the right page or tool
- Gathers details only when the visitor chooses to proceed, with explicit consent
- Turns the conversation into structured, validated lead data
- Hands off to a person, and says so, when a question needs one
- Triggers controlled workflows and creates leads only when explicitly authorised
In regulated sectors the assistant explains and orients. Personalised advice, such as credit advice, stays with the licensed person, and the platform is designed and worded to keep that line clear.
The conversational interface is the visible part. Behind it sit identity, permissions, knowledge, models, allow-listed tools, workflow orchestration, approvals, audit, observability and cost controls, the same architecture described on the AI Systems & Intelligent Automation page.
The lead lands in the system your team already works in.
A typical architecture, each step validated and logged.
- Website
- AI assistant or structured form
- Validation
- Consent
- CRM
- Microsoft 365
- Task generation
- Notifications
- Human follow-up
Integrations can include BrokerEngine, Microsoft 365 through Microsoft Graph, SharePoint, Microsoft Lists, Excel where it is the right store, Microsoft To Do, Teams, Dynamics 365, HubSpot, Salesforce and custom APIs. Each connection runs under a scoped identity with the least permission the job needs. No partnership with any vendor is implied.
What happens after the lead arrives is engineered too.
The follow-up is where most websites go quiet. Ours keep working.
- Lead creation, deduplication and routing
- Notifications to the right person or channel
- Task creation, follow-up sequences and escalation
- Document collection and intake
- CRM updates and reporting
- Exception handling and reconciliation when a step fails
See the whole path, from visit to outcome.
Visibility without collecting more about people than the job needs.
- Traffic, engagement and conversion
- Lead flow and where it stalls
- Workflow status and approval queues
- API and automation failures, surfaced rather than discovered
- Business outcomes, reported in your terms
- Privacy-respecting measurement and PII minimisation by default
A public model never gets unrestricted access to your systems.
A visitor-facing assistant is treated as untrusted input. Everything it can do is defined, validated and logged.
- Allow-listed tools only
- Schema-validated tool calls
- Server-side API credentials
- Scoped identities and least privilege
- Explicit consent before a lead is created
- Input validation and output checks where required
- Rate limiting and bot protection
- Lead deduplication and idempotent writes
- Retry handling and failure reconciliation
- Audit events for every action
- PII minimisation
- Human handoff built in
Financial-services platforms cannot be treated like ordinary marketing sites.
They need appropriate attention to advertising claims, customer disclosures, privacy and consent, web forms, AI and question-and-answer content, regulated terminology, lead capture, content accuracy, ongoing review, security, accessibility and user experience.
The Mortgage Panel website was reviewed by AFG Compliance and approved for use. The approval specifically required the brokerage to continue using Sigma Labs as its provider and to have the platform reviewed regularly.
That is a review of one client's website, not a certification of Sigma Labs. It demonstrates that the platform was engineered and worded with the regulated context in mind, and that a compliance function saw ongoing Sigma Labs review as part of keeping it that way. Sigma Labs maintains the technology and supports controlled content governance; it does not replace a client's compliance or legal function.
Both sides of a modern brokerage, engineered by one team.
For The Mortgage Panel, Sigma Labs engineered the client-acquisition layer, a search-focused public website with service and location pages, guides, calculators, a public AI assistant and structured lead capture into BrokerEngine and Microsoft 365, and the operations layer, a private AI operations assistant the practice calls Mia that handles documents, email, contracts, lender research and reporting under human approval.
A customer finds the practice through search, uses a calculator, asks the assistant a general question and, when ready, provides details that flow into BrokerEngine and the Microsoft 365 workflow. A human broker takes over. Internally, Mia and her specialist agents do the bounded work, and a live console shows what is running, what it cost and what is waiting on a person.
Read the case studyA platform is reviewed, not launched and forgotten.
Regulated content changes, dependencies age, integrations drift and AI knowledge goes stale. Ongoing review is part of the service, and in a regulated environment a compliance function may expect it.
Content and knowledge
Periodic content review, support for regulatory-content review, policy and source updates, and maintenance of what the AI assistant is allowed to know.
Technical health
Broken-link checks, technical SEO health, performance and security checks, dependency updates, form and integration testing, uptime and error monitoring.
Outcomes
Analytics review, conversion issues, lead-flow gaps and a cadence for improving what the platform does for the business.
Sigma Labs maintains the technology and supports controlled content governance. It does not provide legal or compliance certification, and it does not replace the client's own compliance or legal function.
Discover, architect, build, operate, review.
Discover
Understand the customer, systems, processes, data, regulations and friction.
Architect
Design identity, data boundaries, integrations, application architecture, agents, controls and workflows.
Build / Automate
Implement the platform, the tools, the assistant and the workflows against real data.
Operate
Monitor and support it, with integration and automation health visible.
Review
Continuously improve security, content, AI knowledge, integrations and business outcomes.
From search to business workflow.
Tell us where customers find you today, where the handoffs break, and which systems the outcome needs to land in.