Real engagements, not case-study theater.
Software houses, agencies, e-commerce and enterprise SaaS — usually at the moment founder-led selling stops scaling, or a team needs to move faster than it can hire. Client names are shared where we can; the rest are anonymized by agreement, described the way they actually ran.
Two builds that show where the work is going.
Website brain for humans and agents
A Webflow site was doing the job of a brochure while buyers and AI assistants were both arriving with questions it couldn't answer. Built a structured content and knowledge layer underneath it, so pages, entities and answers stay readable to visitors and machine-readable to AI engines. The site now works as a source assistants can quote, and as the foundation for agent-driven publishing workflows.
Deep research agents on Cloudflare
Built lightweight research agents on Cloudflare that run on a schedule instead of on request. They collect sources, structure findings, track provenance and synthesise, so external market and competitor information arrives as a maintained intelligence layer the team can query. Research stopped being a deliverable and became infrastructure.
Agent-assisted RevOps, CRM, content and demand work.
CRM implementation + change management
Sat between the business teams, project management and the technical build during a full CRM implementation. Defined processes, requirements, reporting and adoption workflows, coordinated stakeholders and owned the change management side. AI carried the documentation, test-case and analysis load, which kept the rollout moving at a pace the internal team could actually absorb.
Sales operations product management
Acted as product owner for internal sales operations, translating commercial problems into CRM features, workflows, dashboards and automation. Managed the backlog between sales, RevOps and implementation teams, with AI used for requirements drafting, process design and operational analysis. The decisions stayed with the business; the drafting speed came from the agents.
Clay workflows + AI agents
Designed Clay workflows combining enrichment, signals, research and AI agents for sales and marketing teams. The output is a decision layer rather than a list: accounts researched, contacts enriched, opportunities qualified, and structured inputs prepared for whatever GTM action comes next. Reps get a reason to reach out, already written down.
CRM back-office operations
Ongoing CRM administration and operational support, run without collapsing RevOps into a ticket desk. Data quality, properties, workflows, reporting, user requests and process improvements are handled as one operating rhythm, with automation and AI-assisted operations absorbing the repetitive share of the work.
Website migration + AI-ready information architecture
Ran a large website migration across content, structure, stakeholders and technical delivery. Coordinated inventories, redirects, templates, page ownership and launch readiness, and used the move to restructure content so the new site is easier to manage and easier for search engines and AI systems to parse. Nothing was lost in the migration, and the new architecture gives answer engines something structured to quote.
RFP process for sales, marketing & operations tools
Prepared and ran structured RFP processes for CRM, sales, marketing and operations technology. Turned business requirements into evaluation criteria, vendor comparisons and decision frameworks, with AI-assisted research compressing the vendor landscape work from weeks into days. Final selection stayed grounded in how the team actually operates, not in feature grids.
Fractional project management — sales & marketing
Joined sales and marketing initiatives as a fractional project manager where no dedicated owner existed. Managed scope, priorities, stakeholders, dependencies and delivery, with lightweight AI-supported workflows covering research, documentation and status tracking. The team kept its attention on execution while the reporting layer looked after itself.
Fractional RevOps
Owned parts of the revenue operating system across CRM, pipeline, reporting, GTM processes and sales tooling. Worked between strategy and day-to-day execution, combining hands-on RevOps with automation and agents so commercial teams move faster without inheriting more operational complexity in exchange.
Fractional marketing management
Stepped into marketing leadership on a fractional basis, coordinating campaigns, content, priorities and commercial alignment. AI-assisted research, content operations and analysis raised the team's execution capacity, which let a small marketing function keep its output up while the next full-time hire waited.
AI-supported content operations
Managed content production as an operating system: topics, briefs, contributors, reviews and publishing workflows in one pipeline. AI took the research, first-pass analysis, repurposing and quality support, while editorial control and subject expertise stayed with people. Volume went up without the credibility drop that usually follows.
Outbound + LinkedIn outreach
Built and ran outbound motions combining LinkedIn, email, account research and CRM orchestration. AI and enrichment workflows improved account selection, research and personalisation, and every touch stayed tied to a real signal with coordinated human follow-up behind it. Volume was never the point.
LinkedIn Ads management
Managed LinkedIn Ads from audience design and campaign structure through creative testing, lead-gen forms and performance analysis. Combined CRM and account-level data with AI-assisted analysis to identify which audiences, messages and accounts were showing genuine intent, then fed those signals back into both the paid and the outbound motion.
Fractional teams, RevOps builds, and go-to-market launches.
Software house — fractional outbound + RevOps
A founder-led sales software house needed a sustainable, predictable revenue system. Started with a one-day workshop; now running the full outbound process with a fractional SDR-plus-leader team, and streamlining revenue processes and reporting for a sister engagement at a more mature software agency.
Strategic accounts management
A top packaging provider for marketplaces needed a clear division of roles across its strategic accounts team, plus better forecasting and pipeline management. Revamped the weekly funnel meeting to build real progress visibility for stakeholders.
RevOps foundations
One of the biggest software agencies and consultancies in Poland was mid-way through a strategic change to its revenue organization and needed a RevOps function: a roadmap, streamlined sales-process workload, and a plan for system integration and alignment.
LinkedIn outreach + ABM alignment
A tech founder had two marketers doing solid work but no shared strategy with sales — no ABM program, no alignment. Launched a LinkedIn outreach motion and built the structured setup that let sales and marketing scale together.
Filling leadership gaps under churn
A cloud services client lost several people from key marketing and sales roles at once. Filled the gaps quickly, ran recruitment support, and took on fractional roles until the team was rebuilt.
Building the enterprise sales team
An e-commerce-focused enterprise SaaS company needed interim support to build and structure a new enterprise sales team from scratch — tooling, CRM setup and process coordination included.
Market-entry groundwork
A UK holding company had a stalled product and needed the groundwork before it could move: market research, a GTM strategy, and the early foundations for an ABM program.
Signals and sales data tooling
An AI solutions company needed help standing up the signals and sales-data tools its team was missing — the data layer underneath the sales motion, not just another dashboard.
Go-to-market for a new HR tool
Mass-market outreach for a new SaaS tool aimed at a very specific ICP. Focused on perfecting the outbound setup itself — Clay, Apollo, Lemlist and the workflow connecting them — rather than just running campaigns through it.
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