How to calculate automation ROI without fantasy math
Calculate automation ROI from observed workflow baselines, quality-adjusted capacity, full lifecycle cost, uncertainty, pilots and realized outcomes.
Commercial and RFP operations partner
George writes about commercial qualification, RFP operations and the delivery economics behind enterprise technology decisions.
View on LinkedInGeorge Manolas is a senior commercial and technology leader with experience in enterprise IT-services sales, account development and regulated financial markets. His work includes RFP, RFI and RFQ management, contract negotiation and delivery-model design.
He brings a commercial operating view to bid decisions: which opportunities merit scarce capacity, what a credible service promise costs and where contractual or delivery risk changes the answer.
41 guides
Calculate automation ROI from observed workflow baselines, quality-adjusted capacity, full lifecycle cost, uncertainty, pilots and realized outcomes.
Forecast an RFP by work package, evidence maturity, review topology, production risk and critical-path capacity instead of question count alone.
Build a bid-cost range from internal effort, external requirements, evidence, partners, submission and later evaluation stages without confusing pursuit cost with contract price.
Turn hidden workarounds and edge cases into an evidence-backed exception map that informs scope, controls, human routes, recovery and automation economics.
Build a proposal scorecard that connects pursuit choices, response flow, quality, specialist demand and submission reliability to comparable commercial outcomes.
Define the case, denominator and accepted end state so straight-through processing reflects real end-to-end outcomes rather than hidden rework or curated traffic.
Rank automation candidates with evidence about value, readiness, exceptions, risk, dependencies and adoption, then sequence discovery and pilots without false precision.
Reconstruct the buyer decision from evidence, separate response quality from fit and execution, and turn validated findings into owned commercial and proposal changes.
Select and implement AI automation in Switzerland through workflow evidence, data-path control, human authority, measured pilots and reliable operations.
Automate back-office casework with controlled intake, validation, system updates, approvals, exception recovery and measurable operating outcomes.
Evaluate bid/no-bid software through evidence-linked gates, transparent scoring, conditional decisions, capacity, approval and outcome learning.
A practical guide to selecting, redesigning and automating document-heavy business processes in Switzerland with measurable operational control.
A buyer guide to automating document intake, extraction, validation, decisions, approvals, system updates and accountable exceptions.
Turn inbound messages into traceable cases, interpret intent and attachments, route decisions, control drafts and sends, and verify outcomes.
Connect outcome evidence, buyer feedback, response process, cohort analysis and owned improvements without inventing a reason for every loss.
A practical guide to RFI response software that organizes questions, retrieves approved facts and preserves commercial discovery value.
Independent tender qualification that tests eligibility, evidence, buyer fit, delivery, contract exposure and bid effort before writing begins.
Build an exception control plane with clear classes, priority, ownership, evidence, bounded repair, safe resume, root-cause analysis and capacity.
Redesign financial operations around controlled intake, evidence, deterministic decisions, exception routing, segregation, audit and resilience.
Automate supplier, technical and quality workflows with verified part identity, revision control, source evidence, engineering authority and system reconciliation.
Automate logistics intake, document checks, event normalization, exception work, proof of delivery and billing without hiding physical uncertainty.
A practical operating guide for automating research, document, proposal and delivery workflows while keeping expert judgment and client accountability.
Automate property documents, tenant requests and portfolio reporting with verified asset identity, contract chronology, source clauses and reconciled actions.
Build consistent service proposals across solution, operations, people, transition, SLA, commercial and contract inputs without inventing delivery capacity.
Answer enterprise RFPs with edition-specific product facts, deployment evidence, implementation ownership, qualified roadmap and coherent service commitments.
Answer bank RFPs and partner DDQs with scoped product facts, current control evidence, accountable review and cross-document consistency.
Control works-tender qualification, site and scope evidence, programme, quantities, supply chain, methodology, risk, pricing and final submission.
Control FM tender qualification, site and asset scope, mobilization, workforce, service levels, subcontractors, systems, risk, pricing and submission.
Compare custom build, commercial automation and hybrid architectures by process fit, integration, data, control, speed, cost, ownership and exit.
Compare internal RFP automation and purpose-built software by buyer formats, knowledge, workflow, security, engineering, operations and exit.
Compare in-house bid teams and managed bid services across control, capacity, knowledge, cost, risk, accountability, surge work and hybrid models.
Choose a prime or subcontractor position using the tender documents, eligibility, customer accountability, economics, control, references and risk.
Compare proposal software and document management by requirements, answers, evidence, collaboration, versions, records, governance and integration.
Compare CRM and RFP software by opportunity ownership, requirements, evidence, contributor workflow, buyer documents, review and analytics.
Compare RFP software, managed response services and hybrid delivery by team capacity, control, evidence, economics and submission risk.
A bid or no-bid process decides whether an RFP or tender deserves pursuit capacity after gates, fit, evidence, economics and risk are tested.
Business process automation coordinates work across steps, people and systems. Learn how to define scope, exceptions, controls and measurable outcomes.
Exception handling detects cases that cannot follow the normal path and routes them to recovery. Learn how to design ownership, evidence and resolution.
Process mining reconstructs how work actually flows from timestamped system events, revealing variants, delays, rework and control gaps.
Robotic process automation uses software bots to reproduce defined user actions, often bridging systems where stable APIs are unavailable.
Straight-through processing completes eligible cases without manual intervention. Learn how to define valid outcomes, exclusions and exception controls.