Enterprise AI Transformation Use Case
How Horizon Financial Services Turns AI Adoption Into Continuous Transformation
Horizon Financial Services is a 5,000-person financial services organization using AI across commercial lending, operations, risk, compliance, and customer support.
They have tools. They have adoption.
What they do not have is a reliable way to see how AI is changing work, where value is emerging, where risk is increasing, and which human capabilities need to be protected or strengthened.
That is why Horizon engages Gobekli:
- To turn AI adoption into governed, measurable, continuously improving transformation.
Horizon can see AI usage. It cannot yet see transformation.
They can see:
Licenses
Tool usage
Pilot activity
General adoption
They cannot yet see:
- Which workflows are actually improving
- Where rework, delay, or duplicated effort is being reduced
- Which roles and handoffs are changing
- Where customer, compliance, or judgment risk is increasing
- Which employees are creating value and should be recognized
- Which pilots are ready to scale, pause, or keep human-led
Gobekli gives Horizon the missing transformation layer:
- Maximize AI ROI - Connect adoption to revenue, cost, waste, risk, and service quality.
- Improve Team Flow - Show how work, roles, handoffs, and manager coaching are changing.
- Make Participation Valuable - let reviewed contributions create recognition, growth support, and portable proof.
- Govern scale - Separate evidence-backed claims from hypotheses before leaders act.
Three steps to build the missing human intelligence layer.
1. Configure TalentSync
Map the teams, workflows, systems, priorities, and governance that determine where AI can safely create value.
2. Activate Participation
Employees and managers add work context, validate signals, and identify where AI is helping, hurting, or changing the work.
3. Improve Continuously
Turn those signals into profiles, insights, coaching, workflow improvements, and better AI context.
1. Configure TalentSync
Horizon leaders configure TalentSync around how work actually happens.
1. Map the Organization
Teams, roles, workflows, systems, priorities, and governance become the starting map for AI transformation.
- Upload source documents and operating materials
- Clarify transformation goals, risks, and success signals
- Map leadership priorities, teams, roles, and manager ownership
Once the initial map is created, leaders invite operational managers to validate and extend it.
2. Connect Source Context
People, systems, evidence, and governed Passport Pages make work signals trustworthy and traceable.
Managers use Pythia to connect the people, organizations, and systems that shape Horizon’s work.
This creates the governed source layer for Horizon’s Talent Tree…
3. Structure Intelligence
TalentSync turns work signals into Stories, profiles, and Talent Tree context leaders can act on.
TalentSync structures Horizon’s human intelligence into one shared operating map so leaders, teams, and AI systems can work from the same source of truth.
4. Define Success Views
Horizon chooses the team, workflow, and transformation profiles that will track value, risk, and readiness.
Leaders define the profile templates to map and measure what’s important to them and their teams.
Horizon’s Team profiles
AI Transformation Readiness
Commercial Lending Team Flow
Risk & Compliance Review
Customer Operations Quality
Horizon’s Workflow profiles
- Loan Exception Review
- Risk Report Assembly
- Customer Response Drafting
- Hybrid AI/Human Teaming
Profiles become operating maps for decisions, coaching, and AI context.
2. Activate Participation
Managers invite their teams into the AI transformation loop.
1. TalentSync Setup Conversations
Capture stories, tools, friction, learning, and AI-assisted work context.
Leaders define the profile templates to map and measure what’s important to them and their teams.
- Review their role and itemize responsibilities
- Define current projects
- Identify existing sub-teams and relationships.
- Connect existing AI accounts and systems
- Upload existing project documents
- Setup Check in Preferences.
2. Join and Build Profiles
Team members validate work moments, workflows, projects, and coaching needs.
Each team member builds profiles for the work they own and the teams they support.
Team members can review profiles they own, contribute to, or have been invited to complete.
Profiles stay current through Passport Pages, system APIs, and Pythia conversations.
3. Connect TalentPass
Team members connect TalentPass so reviewed contributions can become recognition, resources, and portable proof.
Team members connect their TalentPass to claim portable recognition and resources
TalentSync queues recognition from reviewed work moments.
TalentPass lets the individual receive it, keep it, and use it beyond the organization.
That gives employees a strong reason to participate: contributions benefit themselves, and the organization.
3. Improve Continuously
Horizon turns work signals into better AI ROI, stronger teams, and safer decisions.
1. Review Work Signals
Pythia surfaces where AI is changing work, roles, friction, and risk.
Team members turn real work into clear signals that both they, and Horizon, learn from every day.
Pythia helps people capture wins, blockers, lessons, and AI-assisted work moments without turning every reflection into a public claim.
These moments become draft Stories,
evidence requests, coaching prompts, or private notes.
2. Optimize Team Flow
Managers adjust workflows, coaching, handoffs, and accountability.
- Map how work happens today
- See where AI can help
- Protect human judgment where it matters
- Update roles, handoffs, and coaching
3. Reward and Grow
Reviewed contributions become recognition, growth support, and portable proof.
Recognition makes participation worthwhile for everyone!
Team members can:
- Review what they have been recognized for
- Add evidence or context
- Endorse collaborators
- Access private growth resources
- Claim recognition in TalentPass
Their contributions benefit Horizon and also become portable recognition the employee owns.
Horizon turns AI adoption into business impact.
Growing Revenue
Identify workflow and AI tool improvements that strengthen customer work, sales flow, and service quality.
Reducing Waste/Loss
Find broken handoffs, underused tools, duplicated work, and workflow friction before they spread.
Lowering Risk
Keep human judgment, compliance review, evidence boundaries, and AI risk visible.
Protecting Culture
Make participation worthwhile with recognition, growth support, and trust-building visibility.
TalentSync connects human work signals to the outcomes Horizon already cares about: revenue, waste, risk, and culture.
Horizon turns AI adoption into business impact.
People give real work context
Employees capture work moments, evidence, blockers, lessons, and AI-assisted activity.
Managers redesign workflows
Teams use reviewed signals to improve handoffs, roles, coaching, and accountability.
AI systems get better context
Profiles and Passport Pages give AI tools cleaner context about people, workflows, and sources.
Recognition reinforces adoption
Reviewed contributions can become recognition, growth support, and portable proof.
Better work signals create better decisions, stronger AI context, and more durable participation.
