AI Product Build Brand Intelligence SaaS Partnership

Making Brand Trust
Measurable

We partnered with MissionCTRL to build an AI-powered platform that quantifies trust as an early business performance indicator.

TrustOS platform — brand trust measurement and intelligence
5 stakeholder groups scored
3 trust drivers measured
Brand AI conversational trust intelligence
7 sectors supported at launch
Engagement Snapshot
ClientTrustOS — MissionCTRL
PartnerDustin C. Lawrence, Founder
SectorBrand intelligence & trust measurement
Service lineAI Product Build
OutcomeConcept → live SaaS platform

Key Highlights

Per-stakeholder trust scoring across Employees, Clients, Partners, Regulators, and more
Brand AI — conversational interface for querying trust data directly
Sector-specific customisation for 7 industries at launch
3-phase methodology: Sense, Measure, Act — baseline in 6 weeks
Context & Challenge

Dustin C. Lawrence has spent years helping organisations understand how brand perception drives commercial performance. Through MissionCTRL, he developed the Brand Effect methodology — a framework for connecting brand trust to measurable business outcomes. The thesis was clear: trust is an early indicator of performance. If you can measure it, you can act on it before the numbers hit the bottom line.

The challenge wasn't the thinking — that was battle-tested across dozens of client engagements. The challenge was turning a consultancy methodology into a scalable product. Existing tools like NPS, brand trackers, and employee surveys measure sentiment in isolation. None of them measure trust specifically, across multiple stakeholder groups, with actionable drivers attached.

Dustin needed a technical partner who could take the Brand Effect framework and engineer it into a platform — one that could score trust per stakeholder, surface the drivers behind those scores, and give leadership teams something they could act on quarterly. Not a dashboard bolted onto a survey tool. A purpose-built trust intelligence platform.

That's where Ferrous Labs came in.

Approach & Solution

Understanding the methodology before
building the platform.

Hypothesis
Stage 01 — Hypothesis

Map the Brand Effect framework

Before writing a line of code, we needed to fully understand the Brand Effect methodology. What does trust actually mean when you break it into measurable components? Dustin had identified three core drivers — Clarity (how well stakeholders understand your purpose), Connection (how consistent their experience is), and Confidence (how visible your distinctive advantage is). Each driver needed to be scorable per stakeholder group — Employees, Clients, Partners, Regulators, and beyond.

We mapped the entire methodology into a product architecture: what data flows in, how it's scored, what gets surfaced, and how leadership teams would interact with it. We also identified the opportunity for Brand AI — a conversational layer that would let users query their trust data directly instead of navigating dashboards.

Experiment
Stage 02 — Experiment

Validate the scoring model

We built a working prototype of the trust scoring engine and tested it against real engagement data from MissionCTRL's existing client base. The goal was to ensure the platform's output matched the quality and nuance of Dustin's manual analysis. We iterated on the scoring model, the driver breakdowns, and the stakeholder segmentation until the platform could deliver insights that a brand strategist would actually trust.

Formulation
Stage 03 — Formulation

Build the trust intelligence platform

Using validated experimental data, we built the full TrustOS platform:

Per-stakeholder trust scoring with quarterly trend analysis
Three-driver breakdown — Clarity, Connection, and Confidence — with actionable gap analysis
Brand AI — a conversational interface for querying trust data in natural language
Sector-specific customisation — language, stakeholders, and dashboard configuration across 7 industries
3-phase delivery model — Sense (6-week baseline), Measure (quarterly), Act (prioritised actions)
Execution
Stage 04 — Execution

Launch and position

TrustOS launched as a standalone product under the MissionCTRL brand, complete with a live platform, Trust Health Check self-assessment, and demo booking flow. The platform is positioned against NPS, brand tracking, and employee surveys — offering something none of them do: a single, unified trust score with actionable drivers, measured across every stakeholder group that matters.

Results & Impact

What changed.

Before Ferrous Labs After Ferrous Labs
Brand Effect methodology delivered manually per client Scalable SaaS platform — live and bookable
Trust measured through bespoke consulting engagements Automated trust scoring with quarterly measurement cycles
No way for clients to explore their own data Brand AI lets users query trust intelligence conversationally
One-size-fits-all approach across sectors Sector-specific customisation for 7 industries
Insights locked in consultant deliverables Self-serve platform with Trust Health Check and demo flow
We'd spent years proving that trust drives performance. What we needed was a partner who could take that methodology and turn it into a product — without losing the nuance that makes it work. Ferrous understood the thinking first, then built the platform around it.
Dustin C. Lawrence, Founder, MissionCTRL
What's Next

Trust, at scale.

TrustOS is live and onboarding organisations across manufacturing, professional services, education, healthcare, social care, NGO/charity, and technology sectors. The Brand Effect methodology that Dustin developed over years of consulting work is now a scalable platform — measuring trust as the leading indicator it always was.

Got a methodology that's ready to become a product?

We bridge the gap.

If you've built a framework, methodology, or IP that works in consulting but isn't yet a product customers can buy independently — we bridge the gap. Book a discovery call and let's see what you've got.