Turn uncertainty about AI into results.
Second Order embeds practical AI in high-return knowledge workflows—aligned to strategy, owned by your team, and measured from day one.
What We Do
Identify high-return knowledge workflows tied to growth, profitability, and customer experience.
Design pilot → scale programs with clear owners, guardrails, and metrics.
Enable teams with prompt packs, SOP updates, and operating rhythms (Copilot & ChatGPT included).
Train staff on redesigned processes and prompt engineering techniques using relevant examples that are meaningful to them.
How We Work
Discover — Map candidate workflows, value drivers, constraints.
Design — Define target workflow, prompts, SOP updates, and success metrics.
Pilot — Prove value with a small team; compare baseline vs after.
Scale — Roll out with enablement, governance, and a simple review cadence.
Example Of Where It Can Help
Strategy & scenario planning briefs — Structure options, quantify impact, and auto-draft decision briefs.
Sample metrics: time-to-decision, scenarios evaluated, exec cycle time.
Customer segmentation & needs synthesis — Turn surveys, interviews, CRM histories, usage/support data, and AI-assisted market/competitive analysis into clear segments, jobs-to-be-done, and positioning.
Sample metrics: time-to-insight, segment adoption in plans, campaign lift by segment.
Voice-of-customer & employee panels — Run virtual groups, summarize signals, and surface actionable themes.
Sample metrics: analysis turnaround, % actions closed, CSAT/ENG lift.
Performance & OKRs cadence — Set goals, roll up KPIs, and prep review packs that drive action.
Sample metrics: cadence adherence, decision cycle time, % initiatives on track.
Sales proposals & RFPs — AI-enabled proposal workflow:
Identify win themes & competitive advantage from client priorities and reasons-won/lost.
Build a compliant outline with required sections and embedded win themes.
Draft first pass via prompted templates and approved boilerplate (with citations).
AI-based scoring & gap analysis against the buyer’s rubric; flag improvements.
Iterate to target until win probability / rubric score meets threshold.
Sample metrics: draft cycle time, win rate, compliance defects, SME hours per bid.
Executive briefings & board packs — Compile metrics → narrative, risks, and recommendations.
Sample metrics: prep time saved, error rate, decision throughput.
Knowledge-base copilots (SOP/Policy) — Natural-language answers with citations to reduce rework and risk.
Sample metrics: search-to-answer time, rework/ticket volume, policy compliance.
Funding applications & grant readiness (non-profit) — Rubric-aligned drafts, evidence tables, and gap analysis.
Sample metrics: submission cycle time, success rate, reviewer rubric scores.
Featured Mini Examples
Customer segmentation & needs synthesis
Before
Insights scattered across surveys, interviews, CRM, and market notes; slow to turn into segments and positioning.
What We Do
LLM-assisted synthesis creates adopted segments & JTBD with a living brief (needs, barriers, cues, proof), informed by AI-assisted market/competitive analysis.
After
4–6 segments with a shared value story, message library, and CRM tags that drive consistent action.
Sales proposals & RFPs
Before
Days to first draft; inconsistent voice; manual compliance checks; SME overload.
What We Do
Five-step AI workflow (win themes → outline → draft → rubric scoring → iterate to target) with citations and approved boilerplate
After
First drafts in hours, fewer defects, less SME time, and learning that compounds deal to deal.
Enablement & Guardrails
Team-led adoption: workshops and working sessions; leaders and doers co-own the change.
Prompts & playbooks: reusable prompt packs, examples, and “what good looks like.”
SOP & quality: updated templates, approvals, and QA steps so results are consistent.
Governance & security: role-based access, citation/attribution patterns, light audit trail.
Measurement: baselines first, 90-day scorecards, monthly readouts.
Enablement & Guardrails
Team-led adoption: workshops and working sessions; leaders and doers co-own the change.
Prompts & playbooks: reusable prompt packs, examples, and “what good looks like.”
SOP & quality: updated templates, approvals, and QA steps so results are consistent.
Governance & security: role-based access, citation/attribution patterns, light audit trail.
Measurement: baselines first, 90-day scorecards, monthly readouts.
What You Get
AI opportunities map (prioritized)
Workflow playbooks (target state, prompts, SOPs, examples)
Enablement kit (training, day-one job aids)
Measurement pack (definitions, dashboards, cadence)