Investors & Partners

An AI discovery layer that turns messy client inputs into a structured operations blueprint.

Aurora Intelligence captures discovery once, structures it into a reusable model, and activates it across planning, execution and governance — for service-based SMEs and the consultancies who serve them.

Capture client requirements once, reuse everywhere across planning, execution and governance.
Cut discovery-to-plan time from weeks to hours while improving consistency and upsell potential.

Discovery is the bottleneck.

Most service businesses still run discovery the way they did a decade ago. The conversations happen, the value is in the room, and then the artefacts scatter. By the time the work begins, the structure is gone — and every new engagement re-invents the wheel.

The pattern is the same in managed IT, marketing retainers, HR outsourcing and dozens of other recurring service models.

Fragmented data — Discovery scattered across slides, decks, transcripts, spreadsheets and inboxes.
Head knowledge — Critical context lives only in senior consultants' heads and walks out with them.
Slow hand-offs — Planning and delivery teams rebuild the picture from scratch every engagement.
Shadow AI — AI tools proliferate in silos with no shared model of the client to anchor them.

Three pillars, one operating model.

Aurora Intelligence is the discovery OS that turns every client conversation into a structured operations blueprint your agents and teams can actually use.

Capture — Ingest the messy reality: forms, spreadsheets, notes, transcripts, email threads and existing tooling.
Structure — Map every input into a reusable Discovery Information Model: requirements, constraints, objectives, risks, stakeholders and systems.
Activate — Generate a client-ready Planning & Sourcing document, and feed downstream agents and tools without losing provenance.

From artefacts to blueprint, in four steps.

Upload & connect — Upload forms, spreadsheets, meeting notes and transcripts. Link existing tools such as CRM and ticketing so discovery has somewhere to live.
AI Discovery Agent — Extracts requirements, constraints and objectives into structured entities, with explainable mappings back to the raw evidence.
Planning & Sourcing Draft Agent — Builds a client-ready Planning & Sourcing document: context, requirements by theme, operating concept and a phased implementation plan.
Consultant review & approval — Human reviewers edit and approve drafts. Changes are written back into the model so future agents (SOP, scheduling, governance) inherit them.

Built for the people who run client discovery for a living.

Consultancies & service designers — Strategy and ops consultancies designing recurring services for SMEs. Aurora becomes their durable discovery asset across engagements.
Service-based SMEs with internal ops teams — Managed IT, marketing agencies, HR and payroll providers — anyone who runs repeated discovery and implementation cycles.
Technology & integration partners — Vendors and SIs who want a discovery layer feeding their own delivery tooling, with structured data they can build on.

Concrete scenarios partners can recognise.

Managed IT for a 50-person SME — Situation: Repeated workshops, vague minutes, messy tickets and no shared picture of the estate. With Aurora: Ingests discovery docs and transcripts, structures the environment and risks, and outputs a blueprint that ticketing and SOP tooling can consume. Outcome: A single source of truth that survives staff turnover and accelerates onboarding for every new engineer.
Marketing retainer for a multi-channel retailer — Situation: Unclear scope, drifting expectations and creative work blocked on missing inputs. With Aurora: Creates a clear requirement map, a campaign calendar skeleton and the integration points to brand and analytics systems. Outcome: Faster kick-off, fewer scope arguments, and a structured record that compounds across quarters.
HR outsourcing & payroll — Situation: A tangle of regulations, internal policies and edge cases that lives in a senior partner's memory. With Aurora: Captures policy constraints with traceable evidence and generates the initial process design and risk list. Outcome: Repeatable onboarding for new clients, with explicit decisions instead of folklore.

A platform, not a feature.

Aurora Intelligence is layered to keep the operating model durable as agents, integrations and vertical packs evolve around it.

Sources — Forms & spreadsheets; transcripts & documents; third-party tools (CRM, ticketing).
Aurora Intelligence Core — Ingestion & normalisation; Discovery Information Model; AI agents: Discovery, Planning & Sourcing.
Outputs — Planning & Sourcing document; API and connectors into project tools, CRMs and knowledge bases.

Human-in-the-loop — Drafts are always reviewed, edited and approved by a consultant before activation.
Traceability — Every structured item links back to the raw evidence it was extracted from.
Extensibility — Designed to host additional agents and vertical packs without rewriting the core model.

Why this isn't just an idea.

Aurora Intelligence was selected as a challenge at the AI Centre for Business / Oxford North hackathon, where the team built and demonstrated the discovery-to-plan flow end-to-end in a single day. We are now in design-partner conversations with consultancies and SMEs across the UK and EU.

This is the right moment for a discovery OS.

Aurora Intelligence treats discovery data as a first-class asset and gives AI agents something structured to work with — instead of asking each new agent to re-derive the client's context from scratch.

Agentic AI is exploding, but almost no one is building structured discovery data for SMEs to feed it.
SME service providers are under cost pressure and need to scale without hiring linear headcount.
AI tools are proliferating in silos — 'Shadow AI' — rather than as a coherent operating layer.

Three layers, one revenue engine.

SaaS platform — Per-organisation pricing with usage tiers based on the number of engagements and consultants on the platform.
Implementation & advisory — Initial implementation packages, with partners or our team leading configuration and schema design for vertical fit.
Vertical packs — Pre-configured discovery blueprints — Managed IT Pack, Agency Pack, HR & Payroll Pack — sold alongside the core platform.

Our pitch decks.

Two narrative decks for different audiences — one for use-case understanding and technical depth, one written for prospective clients navigating the discovery conversation.

Aurora — Use Case (Investors & Operators) — Technical framework deck covering the discovery problem, 5 Whys analysis, 7-module pipeline architecture, and measurable success metrics. Built for operators, investors, and technology evaluators.
Aurora — For Clients (Business Owners & Decision-Makers) — Client-facing narrative covering the discovery myth, root cause analysis, the Aurora solution, automated discovery pipeline, and measurable impact. Written for business owners and senior decision-makers.

Senior operators, working with the AI ecosystem in Oxford.

The team brings together experience from AI engineering, operations consulting and B2B SaaS go-to-market. Aurora Intelligence is incubated alongside Aurora Operations Partners, our consulting practice for European manufacturing SMEs, and developed in close collaboration with partners in the Oxford AI ecosystem.

Affiliations: AI Centre for Business · Oxford North · Building AI For Business

Let's build the discovery layer for service-based SMEs — together.

Two to three design partners — consultancies or SME service providers willing to run pilots with us.
One to two strategic investors with experience in AI SaaS and B2B operations.
Product and go-to-market advisors who have built discovery-heavy platforms before.

Contact: [email protected]