About Aleva
About Founder
From chaos to clarity
Aleva was founded by Alevtina Amchislavskaia, a consultant turned operator who believes the smartest way to scale is by combining structure, automation and ROI-driven processes.
Why Aleva
After years at top consulting firms, in banking, and scaling a London data-tech startup, Alevtina saw the same challenge repeat: startups grow fast, but their operations fall behind. Bottlenecks multiply, tools overlap, and teams lose speed. She built Aleva to solve exactly that — helping founders scale without chaos.
Case study 1
Restructuring Marketing & Operations for a UK Tech Startup
Objective
- Create a scalable advertising operating model by aligning Marketing and Operations — reducing cycle times, waste and missed revenue opportunities.
Background
- The client, a London-based data-tech enterprise, faced inefficiencies in advertising: delays in campaign launches, incomplete briefs impacting targeting and frequent pausing/relaunching of ads — all reducing ROI and slowing project delivery.
Roadmap & Our Role
- Designed the operating model for intake → launch → optimisation, with clear ownership (RACI), service levels and cadences.
- Mapped end-to-end advertising processes, removing bottlenecks and redundant hand-offs.
- Integrated the marketing team into Asana & Jira, establishing a standardised campaign workflow with full visibility from intake to launch.
- Introduced a mandatory AI-enabled intake form with structured fields (ICP, geography, budget, creative specs) to ensure campaigns were launch-ready from day one.
- Conducted robust historical campaign analysis to inform scheduling, targeting rules and segment prioritisation.
Results
- Campaign efficiency: Campaigns launched up to 48 hours earlier with automated briefs and fewer hand-offs, ensuring target experts were engaged before project start.
- Faster project delivery: Client projects closed 25–30% faster, accelerating revenue recognition and freeing team capacity for additional campaigns.
- Budget optimisation: Advertising spend reduced by ~35% through better targeting and fewer relaunches, increasing overall campaign profitability.
Lessons Learned
- Timely AI-driven inputs drive ROI: complete automated briefs at the start are the single greatest lever for accurate targeting and faster launches.
- Governance institutionalises gains: Clear SLAs and regular Ops×Marketing reviews sustained improvements beyond initial fixes.
- One system, one truth: Centralisation eliminated ambiguity, delays and duplication, reinforcing accountability across teams.
Case study 2
Operational Optimisation for a B2B Tech UK Startup
Objective
- Assess operational health and create a scalable operating model by addressing bottlenecks, clarifying ownership and improving execution discipline.
Background
- A UK-based B2B technology startup experiencing fast growth but facing operational inefficiencies, unclear ownership and ad-hoc processes that slowed execution and decision-making.
Roadmap & Our Role
- Conducted structured diagnostics: interviews, process walkthroughs and system audits across product, sales and client delivery.
- Designed end-to-end process maps, visualising workflows and identifying gaps, hand-offs and bottlenecks.
- Re-defined roles & responsibilities (RACI framework) to reduce overlaps and clarify ownership.
- Introduced performance tracking and KPIs, including early ROI metrics tied to time saved and decisions unblocked.
- Designed & deployed automation pilots (CRM automations, task tracking integrations) to test scalability and reduce manual work.
- Facilitated OKR framework adoption to align teams on quarterly priorities and sharpen focus.
- Orchestrated cross-functional alignment using agile principles, ensuring collaboration and continuous improvement.
Results
- Bottleneck clarity: Key inefficiencies identified and prioritised by impact on time, cost and decision-making speed.
- Speed & efficiency gains: 30% faster product delivery and 25% less admin workload through clarified workflows and automation.
- Team alignment & satisfaction: Managers reported higher satisfaction from clearer ownership; leadership alignment improved with OKRs and measurable KPIs.
Lessons Learned
- Scalability readiness: A robust operating model was established, positioning the company for next fundraising and growth.
- Fixing execution creates transparency: Strong operations distinguish operational issues from strategic ones, enabling founders to make confident, data-driven decisions.
Atef, CEO & Co-Founder @ TradeHub; ex-Meta, Bloomberg, Google & Amazon
“I’m happy to recommend Alevtina [founder of Aleva Agency] for her outstanding work at Tradehub. She mapped and optimized our workflows by engaging every team member, pinpointed skill gaps, and realigned resources to keep projects on course and guide our project-direction decisions. Her positive energy and professionalism inspired the whole team.”
Cristina, COO & Co-Founder @ GrapeData; ex-Microsoft, Google & Amazon
“Alevtina [founder of Aleva Agency] consistently demonstrated a remarkable bias for action, always taking the initiative to tackle challenges head-on and drive projects forward. Her ability to navigate complex tasks has significantly contributed to our team's success, setting a high standard for others to follow.”
Our Approach
