OPERATING MODEL

Move growth priorities from backlog to execution

Solventus offers flexible engagements for strategy, systems The model adapts to the work, while human accountability and responsible AI remain constant.

Connects with the tools behind your growth
  • OpenAI
  • Claude
  • Perplexity
  • HubSpot
  • HighLevel
  • Meta
  • LinkedIn
  • Google Ads
  • Mailchimp
  • Shopify
  • Microsoft 365 Suite
  • Google Workspace
  • Slack
  • Twilio
  • Stripe
  • Xero
  • QuickBooks
  • Holded
  • Notion
  • Airtable
WAYS TO WORK

One partnership, three
ways to work

Choose the working model that fits the constraint: an embedded team, flexible capacity or a scoped build. Every path combines multidisciplinary expertise with responsible AI.
Embedded growth team

A consistent multidisciplinary team, configured around the operating priorities your business needs to move.


Shared business context, controlled AI workflows and regular operating reviews keep the team aligned as priorities change.

For a stable, cross-functional operating mandate
Flexible growth capacity

Multidisciplinary capacity that flexes with the work: strategy, operations, technology and creative execution coordinated through one accountable partner.

For priorities and capability needs that evolve
Scoped transformation

A fixed-scope engagement for a defined priority: operating design, an AI build, an integration, a launch or a focused transformation.


Useful when the outcome is clear, the work is bounded and the business needs momentum without adding permanent overhead.

For a defined, high-priority business outcome
Every engagement is built on
Senior multidisciplinary operators
Shared context and responsible AI
Strategy connected to implementation
Clear ownership and working documentation
Specialist depth in one operating model
Controlled workflows, tools and approvals
The Solventus platform and shared company memory
Operational, client and market intelligence
Flexible by design

A team built around your most important constraints

Whichever model you choose, the team is configured around the work you actually need and evolves as that work changes.

Growth strategy and demand systems

For growth leaders

Growth strategy and demand systems

Connect positioning, market intelligence, campaign planning and production so every iteration contributes to a more useful demand system.

Brand, content and creative production

For brand and creative leaders

Brand, content and creative production

Build the brand system, narrative and production capability needed across content, campaigns, sales and customer touchpoints.

Automation and connected operations

For operations leaders

Automation and connected operations

Connect systems, data and repetitive workflows so teams spend less time moving information and more time making consequential decisions.

Commercial enablement and client intelligence

For commercial teams

Commercial enablement and client intelligence

Give commercial teams stronger client context, clearer narratives and connected workflows that help opportunities move without losing organisational memory.

Human judgement or AI leverage? Both.

AI creates value when it is connected to context, permissions, approvals and the people accountable for the outcome.

Connected coverage

Strategy, creative, systems and operations around one priority

Adaptive model

Capacity and cadence change with the work

Human control

Consequential decisions keep explicit approval

Single accountability

One partner remains responsible for the outcome

FAQS

Frequently asked questions

We begin with the business priority, current constraints, systems involved and the level of operating support required. From there, we propose a clear scope, team and commercial model.

We do not publish a universal minimum. Investment depends on the outcome, scope, systems involved and whether the work is a scoped project or an ongoing operating partnership.

The engagement can be a bounded project or an ongoing partnership. Duration and governance are agreed around the real work rather than forced into a generic package.

We align on the outcome, map the current operating reality, identify decision owners and define the first delivery cycle. If technology is involved, access, permissions and approval boundaries are established before any workflow goes live.

Yes. Ongoing engagements are reviewed against current priorities, and capacity can be redirected by agreement without losing sight of the original business outcome.

Pricing reflects complexity, disciplines involved, dependencies, decision velocity and the amount of implementation required. Before work starts, you receive a transparent scope with deliverables, responsibilities and commercial terms.

The scope can combine strategic direction, operating design, implementation, creative production, automation, AI enablement and ongoing coordination. The exact mix is defined around the business priority.

Strategy, commercial and client operations, brand and creative production, automation, data workflows and responsible AI systems can be combined in one engagement.

Yes. Documentation, working sessions and role-specific enablement are part of the delivery when adoption is necessary for the system to create value.

It is a consistent multidisciplinary group assigned to a defined operating mandate. Team shape and pricing depend on the capabilities, cadence and implementation responsibility required.

Flexible capacity fits changing priorities and a variable mix of disciplines. An embedded team fits a stable mandate that benefits from continuity, deeper context and a regular operating cadence. The model can evolve as the work becomes clearer.

Yes. A scoped project is often the right starting point when the objective and boundaries are clear. It can remain standalone or become the foundation for an ongoing operating partnership.

We separate a natural extension of existing work from a new initiative with different dependencies or ownership. Any change in scope is made explicit before additional work begins.

Solventus is human-led by design. AI is used where it improves context, analysis, production or coordination, with permission boundaries and human approval for consequential actions.

  • Research and synthesize context earlier in the process
  • Reduce repetitive and manual coordination
  • Support consistent execution without removing human judgement
  • Help teams focus on judgement, relationships and decisions
  • Build controlled systems that evolve with the business

The operating model remains accountable: people define objectives and approve consequential actions, while AI supports research, synthesis, generation and repeatable workflows within controlled boundaries.