Your proposals take three weeks. They should take three days.
AI-powered pipeline generation that actually converts. Content, lead scoring, proposal automation, and nurture sequences — built to produce revenue, not reports.
The problem
Disconnected tools, no pipeline
You know AI can help. More content. Faster proposals. Better lead qualification. But what you have is a collection of disconnected tools, manual processes, and a content output that is either too slow or too generic to move the needle.
Your competitors are responding to RFPs in days while you take weeks. Their content machine runs while yours stalls. Their lead scoring identifies opportunities six months before you see them.
The gap is not AI adoption. It is AI integration.
What we build
Three capabilities, one pipeline
The growth engine is not six disconnected tools. It is three integrated capability areas that feed a single pipeline. Content creates awareness. Intelligence qualifies it. Acceleration closes it.
Pipeline generation
Content ecosystem + thought leadership
One research topic becomes 15+ assets across platforms. Articles, LinkedIn posts, email sequences, slide decks, social content — all from a single source of truth.
Systematic thought leadership turns your expertise into authority-building content. Not vanity metrics — pipeline influence that compounds over time.
Deal acceleration
Proposals + nurture sequences
RFP responses in 3–5 days instead of 2–3 weeks. AI drafts from your winning templates, past proposals, and company knowledge base. Win rates improve because you respond while competitors are still assembling teams.
Context-aware nurture sequences for long B2B sales cycles. Not generic drip campaigns — personalised communication that adjusts across 12–18 month buying journeys.
Targeted growth
Lead scoring + account-based marketing
Predictive lead qualification that identifies opportunities six months before traditional methods. Your sales team stops chasing cold leads and starts conversations with prospects already showing buying signals.
AI-orchestrated ABM for high-value targets. Coordinated outreach across channels, personalised at the account level. The targeting that used to require a team of six, delivered with a team of two.
Contrast
Before and after
Without an AI growth engine
- Content takes weeks, published sporadically
- Proposals take 2–3 weeks to assemble
- Lead qualification is gut feel plus CRM filters
- Email campaigns are generic batch sends
- ABM is a slide deck, not an operating system
- LinkedIn is ad-hoc, inconsistent, low-impact
With the engine running
- Content ecosystem produces 15+ assets per topic
- Proposals delivered in 3–5 days
- Predictive scoring identifies buyers 6 months early
- Context-aware sequences across 12–18 month cycles
- ABM orchestrated across channels at account level
- Systematic thought leadership driving inbound
Architecture
How the pieces connect
Most businesses bolt on tools in isolation. A content platform here, a CRM integration there, an email tool that talks to nothing. The growth engine works because it is integrated.
01
Content creates awareness
The content ecosystem generates inbound interest across search, social, and AI platforms. Prospects find you.
02
Intelligence qualifies it
Lead scoring and predictive analytics separate genuine buyers from noise. Sales focuses on the prospects most likely to close.
03
Acceleration closes it
Proposals go out in days. Nurture sequences keep deals warm. ABM targets the accounts that matter most. Pipeline converts.
Relevance
Who needs this
CMOs under pressure to deliver more pipeline
Budget is flat. Pipeline targets are up. You need to produce more qualified opportunities without hiring more people. The growth engine is the multiplier.
Business development directors drowning in proposals
You are losing deals because you are too slow to respond. The AI proposal system means you respond in days, not weeks, with higher quality and more consistency.
CEOs who want revenue impact, not marketing activity
You are not interested in impressions and engagement metrics. You want to see qualified pipeline increase and sales cycle shorten. This is built for that conversation.
Timeline
What the engagement looks like
Month 1
Build the foundation
Content ecosystem operational. Lead scoring configured and learning. Proposal templates built from your winning history. First outputs flowing.
Month 2
Accelerate output
Proposal response time halved. Nurture sequences live. ABM campaigns in market. Content output at full velocity.
Month 3+
Measurable pipeline impact
Qualified leads increasing. Pipeline attribution clear. The system self-sustains with ongoing optimisation. Your team runs it.
What comes next
Growth clients who see pipeline results often add AI Market Intelligence — targeting more effectively with real-time competitive data and predictive analytics.