Operating Model for Hybrid (AI + Human) Teams
Design how people and agentic AI work together. Define decision rights, lifecycle governance, and weekly value tracking so hybrid teams operate safely and at speed. Book a 30 minute readiness reviewChallanges in the Agentic AI implementation.
Despite $30–40 billion in enterprise investment into GenAI, 95 percent of organizations are getting zero return. *
From pilots to production
Move beyond isolated chatbots to autonomous agents that own outcomes inside real workflows.
Human in the loop by design
Set intervention thresholds. Add approval gates and rollback plans so humans stay accountable without becoming a bottleneck.
Audit and trust
Version prompts, data, and outputs. Keep a decision log for every agent action to meet audit and safety needs.
Know more about our Controlled Detonation Methodology
How we deliver AI readiness in practice.
We do not leave AI readiness as a slideware exercise. We run this process with your organisation end to end, from discovery to scaled adoption.
Depending on your context, we can integrate with your existing AI, data and engineering teams, or we can bring trusted partners who provide a complete build squad, including Forward Deployed Engineers (FDEs) and development teams that turn the roadmap into working AI products and agents embedded in your workflows.
Our consulting process itself is AI enabled.
Tacit, our AI Discovery agent, maps real work, decisions and pain points across your organisation by combining your data, documents and interviews. Tacit can operate autonomously within agreed guardrails or act as a co-pilot for your internal teams, always under human governance.
In the Dream and Design phase, we complement this with a Digital Twin of the Organization (DTO) that lets us simulate alternative operating models, decision rights and AI use cases before you commit to change in the real world.
Why hybrid (AI + Human) teams struggle!
Just 5% of integrated AI pilots are extracting millions in value.
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No agent registry or accountable owner.
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Unclear human roles and escalation paths.
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Lifecycle governance missing or inconsistent.
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Fragmented telemetry and weak value tracking.
Do you want to be one of the 5%?
With our AI implemtation methodology of Controlled Detonations (TM).
You too can create a integrated (Human+AI) strategy & operating model to support it!
The Operating Model for Hybrid Teams
Strategy to Value
Tie each agent to one business KPI. Set a benefits baseline. Track weekly deltas.
Governance and Risk
Gate the lifecycle. Intake. Experiment. Pre production. Production. Retirement. Enforce policy as code. Red team high risk flows. Log decisions with inputs and outputs. Support rollback.
Roles and Decision Rights
Define who designs, approves, supervises, and intervenes. Publish a RACI with escalation rules and intervention thresholds.
Engineering and Patterns
Provide reusable patterns for Advisor, Operator, Orchestrator, and Sentinel agents. Standardize data access, connectors, prompts, and monitoring.
Take the AI Readiness assessment.
Receive your maturity band and next step to redesign your operating model for Hybrid (Human + AI ) organisation.
“The hype says everything has changed, but in our operations, nothing fundamental has shifted.” – Mid-market manufacturing COO
Frequently Asked Questions (FAQs)
How do we keep humans accountable
Set an intervention threshold for each agent. Humans approve above threshold. Humans review exceptions. The RACI names the accountable owner for every agent and workflow.
How do we reduce hallucination and bad actions
Test prompts, tools, and guardrails before production. Enforce policy as code checks. Log every decision with inputs and outputs. Route risky cases to human review.
What is the fastest safe starting point
Begin with an Advisor or Operator agent in one workflow. Define SLAs. Publish a decision rights matrix. Ship audit logging on day one. Add Orchestrator or Sentinel after two stable sprints.
What technology stack do we need
Use what you have if it supports versioning, audit logging, policy checks, and safe tool permissions. Standardize connectors and patterns to avoid drift.
How do we measure value
Tie each agent to one KPI such as cycle time, cost to serve, first contact resolution, or error rate. Track weekly deltas and maintain a benefits register.